WO2020141847A1

WO2020141847A1 - Apparatus and method for diagnosing massive perivillous fibrin deposition

Info

Publication number: WO2020141847A1
Application number: PCT/KR2019/018775
Authority: WO
Inventors: 김종재; 김은나; 김상엽
Original assignee: 울산대학교 산학협력단; 재단법인 아산사회복지재단
Priority date: 2019-01-02
Filing date: 2019-12-31
Publication date: 2020-07-09

Abstract

An apparatus for diagnosing massive perivillous fibrin deposition according to an embodiment of the present invention automatically differentiates fibrin from villi in placenta images by using artificial intelligence algorithms, and can diagnose massive perivillous fibrin deposition according to the positions, occupied percentages, etc. of the differentiated fibrin and villi.

Description

Fibrin and deposition diagnosis device and method

The present invention relates to an apparatus and method for diagnosing fibrin hypercalmosis.

Due to the recent increase in the age of first marriage, the high-risk delivery due to an older pregnancy is increasing. According to statistical figures, as of 1994, the age of first marriage for women was 25.1 years old, while in 2015, the age of first marriage for women increased to 30.0 years, and the age of older women aged 35 and older also increased. Older mothers, for example, mothers in their 40s and older, have a high risk of childbirth, with an abortion rate of up to 50%.

There are various causes of the miscarriage of the mother. For example, abortion may be caused by massive perivillous fibrin deposition (MPFD) in which fibrinoids (or fibrin) are overdeposited around the villi of the placenta.

In the case of diagnosis of fibrin and deposition, it is difficult to distinguish between villus and fibrin, and it is affected by the subjective judgment of the pathologist, so there is a problem that the diagnosis of fibrin and deposition is poor in accuracy and objectivity.

The problem to be solved by the present invention is to provide an apparatus and method for diagnosing fibrin hyperdeposition using automatic artificial intelligence algorithm to automatically separate fibrinoid and villi from placenta images to diagnose fibrin hyperdeposition.

However, the problems to be solved by the present invention are not limited to those mentioned above, but are not mentioned, but include the purpose that can be clearly understood by those skilled in the art from the following description can do.

The apparatus for diagnosing fibrin hypercalmosis according to an embodiment of the present invention divides a region of fibrin and villi in a placenta image, performs an analysis on the ratio of fibrin and villi, or the degree to which fibrin surrounds villi, and is based on the analysis It can diagnose fibrin and deposition.

A method for diagnosing fibrin hyperdeposition performed by a device for diagnosing fibrin hyperdeposition according to an embodiment of the present invention, comprising: obtaining a placental image of a mother; Identifying a region corresponding to fibrin and a region corresponding to villi in the placenta image using a pre-trained artificial intelligence algorithm; And based on the region corresponding to the fibrin and the region corresponding to the villi, and may include the operation of diagnosing whether the state of the mother is fibrin hypercalmosis.

According to an embodiment of the present invention, the operation of diagnosing whether the state of the mother is fibrin and deposition is, in the placenta image, the ratio between the region corresponding to the villi and the region corresponding to the fibrin and the villi It may be executed based on at least one of the arrangement state of the corresponding region and the region corresponding to the fibrin.

According to an embodiment of the present invention, the operation of diagnosing whether the condition of the mother is fibrin hypercalmosis is, in the placenta image, of an area corresponding to the fibrin surrounding at least a portion of the region corresponding to the villi. And checking the ratio, and diagnosing the condition of the mother with the fibrin hypercalmosis based on the determined ratio being equal to or higher than a predetermined ratio.

According to an embodiment of the present invention, the placenta image of the mother may be obtained by observing a pathological slide of the mother's placenta with a microscope.

According to an embodiment of the present invention, further comprising an operation of storing the pre-trained artificial intelligence algorithm in a memory, the artificial intelligence algorithm is based on input parameter values for distinguishing fibrin and villi in the placenta image for learning. Thus, in the placenta image for learning, it may be learned to distinguish an area corresponding to the fibrin and an area corresponding to the villi.

An apparatus for diagnosing fibrin hypercalmosis according to an embodiment of the present invention includes a memory storing pre-trained artificial intelligence algorithms; And obtaining a placental image of a mother, using the pre-trained artificial intelligence algorithm to identify a region corresponding to fibrin and a region corresponding to villi in the placenta image, a region corresponding to the fibrin and a region corresponding to the villi Based on the region, a control unit may be configured to diagnose whether the mother's condition is fibrin hypercalmosis.

The control unit according to an embodiment of the present invention, in the placenta image, the ratio between the region corresponding to the villi and the region corresponding to the fibrin, and the arrangement state of the region corresponding to the villi and the region corresponding to the fibrin Based on at least one, it may be possible to diagnose whether the condition of the mother is fibrin hypercalmosis.

The control unit according to an embodiment of the present invention, in the placenta image, checks a ratio of a region corresponding to the fibrin surrounding at least a portion of the region corresponding to the villi, and the identified ratio is equal to or greater than a predetermined ratio On the basis of this, the condition of the mother can be diagnosed as the fibrin hypercalmosis.

The placenta image of the mother according to an embodiment of the present invention may be obtained by observing a pathological slide of the mother's placenta with a microscope.

The pre-trained artificial intelligence algorithm according to an embodiment of the present invention, based on the input parameter values for distinguishing fibrin and villi in the placenta image for learning, an area corresponding to the fibrin in the placenta image for learning and the It may be learned to distinguish an area corresponding to villi.

The apparatus and method for diagnosing fibrin hyper deposition according to an embodiment of the present invention may provide an accurate diagnosis of fibrin hyperdeposition by clearly distinguishing the region of fibrin and villi from the placenta image using an artificial intelligence algorithm.

However, the effects obtainable in the present invention are not limited to the above-mentioned effects, and other effects not mentioned will be clearly understood by those skilled in the art from the following description. Will be able to.

1 to 10 are diagrams for explaining a device and method for diagnosing fibrin hypercalmosis according to an embodiment of the present invention.

11 is a flowchart of a diagnosis operation of fibrin hyperdeposition using a device for diagnosing fibrin hyperdeposition according to an embodiment of the present invention.

12 is a block diagram of a device for diagnosing fibrin hypercalmosis according to an embodiment of the present invention.

Advantages and features of the present invention, and methods for achieving them will be clarified with reference to embodiments described below in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various forms, and only these embodiments allow the disclosure of the present invention to be complete, and have ordinary knowledge in the art to which the present invention pertains. It is provided to fully inform the person of the scope of the invention, and the scope of the invention is only defined by the claims.

In describing the embodiments of the present invention, detailed descriptions of known functions or configurations will be omitted except when actually necessary in describing the embodiments of the present invention. In addition, terms to be described later are terms defined in consideration of functions in an embodiment of the present invention, which may vary according to a user's or operator's intention or practice. Therefore, the definition should be made based on the contents throughout this specification.

The present invention can be modified in various ways and can include various embodiments, and specific embodiments will be illustrated in the drawings and described in the detailed description. However, this is not intended to limit the present invention to specific embodiments, and should be understood as including all modifications, equivalents, and substitutes included in the spirit and scope of the present invention.

Terms including ordinal numbers such as first and second may be used to describe various components, but the corresponding components are not limited by these terms. These terms are only used to distinguish one component from another.

When a component is said to be'connected' or'connected' to another component, it is understood that other components may be directly connected or connected to the other component, but may exist in the middle. It should be.

Figure 1 shows an example of a placenta with fibrinoid, a normal placenta and fibrinoid observed under a microscope. Looking at the placenta under a microscope, there is fetal blood in the placental villi, and maternal blood is present in the space between the villi, and various substances such as oxygen, carbon dioxide, and nutrients can move between these blood. In some cases, fibrin may be deposited around the placental villi as shown in FIG. 1.

Under normal conditions, the fibrin/fibrinoid may act as a scaffold to repair damage to the placental villi, or to prevent the immune response from occurring when fetal blood is exposed to the mother's blood when the placental villi is damaged. .

If the fibrin/fibrinoid is deposited too much, the placenta can be deformed yellow and hard, like the placenta in the upper right of FIG. 2, unlike the normal placenta in the upper left of FIG. Under the microscope, fibrin is filled in the space where the mother's blood should be, and the exchange of substances between the fetus and the mother is prevented from occurring, and the placenta function can be rapidly deteriorated. This pathological condition may be Massive perivillous fibrin deposition (hereinafter,'MPFD').

On the other hand, with respect to FIG. 2, the lower left of FIG. 2 may be an example of a placenta slide image enlarging a part of the placenta in the upper left, and the lower right of FIG. 2 is an enlarged part of the placenta shown in the upper right It may be an example of a placental pathology slide image. Like the picture of the placenta in the upper left and upper right, the difference between the normal placenta and the MPFD placenta can be seen by comparing the images of the lower left and lower right. That is, looking at the image at the bottom right, it can be confirmed that the fibrinoid is full in the space between the villi, unlike the image at the bottom left by MPFD.

In the case of MPFD, since the placenta function is lost, the prognosis of pregnancy is very poor, and in severe cases, it leads to miscarriage. More specifically, when MPFD is developed, serious damage to the brain of the fetus may be caused, including delayed development of the fetus.

According to the study, the incidence of MPFD during abortion in the second and third trimesters is 0.005 to 0.5%, and the frequency of MPFD during abortion in the first trimester is 2.7%. In rare cases, MPFD may be characterized by repeated up to 78% in the next pregnancy. That is, since MPFD causes repeated miscarriage, various treatments to prevent miscarriage and prevent miscarriage need to be attempted. For example, you can try treatment to prevent miscarriage, such as narrowing the outpatient follow-up interval and inducing preterm delivery.

Referring to FIG. 3, MPFD is diagnosed according to the occupancy relationship between villus and fibrin in the placenta.

More specifically, the apparatus for diagnosing fibrillation and sedimentation according to an embodiment of the present invention can more clearly distinguish fibrin and villi included in the pathology slide image of the placenta using an artificial intelligence algorithm. The fibrin and sedimentation diagnosis apparatus may provide information on fibrin and villi separated as such, for example, an analyzed image, or automatically diagnose MPFD based on the analyzed image to provide an MPFD diagnosis result.

For example, the device for diagnosing fibrin hypercalmosis may analyze how much fibrin surrounds the contours of villi in the acquired placenta image, and diagnose MPFD based thereon. More specifically, the apparatus for diagnosing fibrin and sedimentation may determine whether the ratio of the length wrapped with fibrin among the circumferences of the villi corresponds to a predetermined ratio, and perform diagnosis based on the ratio. The pre-determined ratio can be, for example, 25%.

For another example, the fibrin and deposition diagnosis apparatus may diagnose MPFD by analyzing the area occupied by villi and fibrin in the placenta image and comparing them.

In other words, the fibrin hypersedation diagnosis apparatus can facilitate the diagnosis of MPFD by scanning the placental pathology slide to obtain a placenta image, and according to the ratio of the villus and fibrin appearing in the obtained image, the placement status, and the like.

Meanwhile, in FIG. 3, MPFD is an abbreviation for Massive Perivillous fibrin deposition, and IIF is an abbreviation for Increased intervillous fibrin.

Meanwhile, the placenta image may be an image obtained by observing a pathology slide of the placenta with a microscope, and FIG. 4 shows an example of such a placenta image. The placenta image may be acquired at a low magnification or high magnification depending on the magnification setting of the microscope for acquiring the image. Referring to FIG. 4, the placenta image on the left may be a low magnification image, and the placenta image on the right may be a high magnification image.

The placenta image has a very complex structure, as shown, and it is difficult to distinguish its composition, for example villi, fibrin, and the like. In general, in order to classify the composition of the placenta image, an experienced doctor or an analyst who sees the eye sees it directly and classifies it according to experience (eyeballing method). In this case, since it relies on the subjective judgment of a doctor or an analyst, there is a problem that the accuracy may be slightly lower depending on the situation including the analyst's ability and condition. However, since the fibrin hypersedation diagnosis apparatus of the present invention analyzes the placenta image using an artificial intelligence algorithm trained to clearly distinguish each component of the placenta image, and diagnoses MPFD based thereon, accuracy and reliability for diagnosing MPFD Can be secured.

Meanwhile, the learning of the artificial intelligence algorithm may perform learning based on a method of inputting a label (correct answer) by a doctor or an analyst for each of the components included in the placenta image, as shown in FIG. 5. In some cases, it may be performed by inputting parameter values for distinguishing villi and fibrin for learning of an artificial intelligence algorithm. The learning of the artificial intelligence algorithm may be performed in various ways to clearly distinguish configurations included in the placenta image, and is not limited to the examples described above on this specification.

As described above, using the artificial intelligence algorithm learned to clarify the composition of the placenta image, the fibrin and seizure diagnosis apparatus can receive the placenta image of the patient to be diagnosed and distinguish each configuration in the input placenta image. The apparatus for diagnosing fibrin hyperdeposition may identify a portion corresponding to fibrin and a portion corresponding to villi in the input placenta image and perform a diagnosis of fibrin hyperdeposition. Diagnosis of fibrin hypercalmosis may be performed based on the extent to which fibrin wraps around the contour (or circumference) of the villi as described above, or the area occupied by villi and fibrin in the placenta image.

6 shows an example of an image in which fibrin is more clearly displayed in a placenta image after division of a portion corresponding to fibrin is performed by the fibrin and deposition diagnosis apparatus. Referring to FIG. 6 in comparison with FIG. 5, unlike FIG. 5, it can be seen that in FIG. 6, the outer boundary portion is displayed so that the fibrinoid portion located in the left portion is distinguished from other portions. Alternatively or additionally, various methods may be used to display the fibrinoid portion differently from other portions. For example, the fibrinoid portion may be displayed by overlapping with a color, pattern, etc. to distinguish it from other portions. At this time, the color for distinguishing the fibrinoid may be predetermined.

7 to 10 show an example of a result image generated by more clearly distinguishing the fibrin, villi, and other background parts by the fibrin and deposition diagnosis apparatus. As shown in FIGS. 7 and 8, each configuration, for example, a fibrinoid (or fibrin), villus, and background may be expressed by differently at least one of color and pattern. More specifically, as shown in FIGS. 7 to 10, the result image may be such that each configuration of the placenta image is distinguished by performing different color or pattern after performing multicolor cell staining.

For example, a placental pathology slide may be scanned with an image scanning device, for example, Vectra, to generate a digital image (hereinafter, a'placental image') of the placental pathology slide. The fibrin and sedimentation diagnosis apparatus can automatically identify a part of the placenta image corresponding to villi, fibrin, and background in the placenta image after being loaded into the Inform software. Such a device for diagnosing fibrin hypersensitivity can diagnose MPFD without knowledge of placenta reading even by a pathologist who specializes in the placenta or a non-pathologist who is not a pathologist.

9 and 10 more specifically show examples of placenta images before and after the analysis is performed by the fibrin hyperdeposition diagnosis apparatus, and it can be seen that the fibrin hyperdeposition diagnosis apparatus provides clearer information about the placenta. .

11 is a flowchart of a diagnosis operation of fibrin hyperdeposition in a device for diagnosing fibrin hyperdeposition according to an embodiment of the present invention.

In operation 1101, the fibrin hypersedation diagnosis apparatus may acquire a placenta image of a mother.

According to an embodiment, the placenta image of the mother may be obtained by observing a pathological slide of the mother's placenta with a microscope.

In operation 1103, the fibrin hypersedation diagnosis apparatus may identify a region corresponding to fibrin and a region corresponding to villi in the placenta image using a pre-trained artificial intelligence algorithm.

In operation 1105, the fibrin hyperdeposition diagnosis apparatus may diagnose whether the condition of the mother is fibrin hyperdeposition based on the region corresponding to the fibrin and the region corresponding to the villi.

According to one embodiment, the operation of diagnosing whether the condition of the mother is fibrin and deposition is in the placenta image, a ratio between an area corresponding to the villi and an area corresponding to the fibrin and an area corresponding to the villi And an arrangement state of a region corresponding to the fibrin.

According to one embodiment, the operation of diagnosing whether the condition of the mother is fibrin and deposition is confirmed in the placenta image, a ratio of a region corresponding to the fibrin surrounding at least a portion of the region corresponding to the villi And, based on the above-identified ratio is more than the predetermined ratio, the condition of the mother can be diagnosed with the fibrin hyperdeposition.

According to an embodiment, the fibrin hypersedation diagnosis operation of the fibrin hypersedation diagnosis apparatus may further include an operation of learning an artificial intelligence algorithm and storing the learned artificial intelligence algorithm. The operation of learning the artificial intelligence algorithm is to distinguish an area corresponding to the fibrin and an area corresponding to the villi from the placenta image for learning, based on input parameter values for distinguishing fibrin and villi in the placenta image for learning. It may include an operation to learn.

Referring to FIG. 12, the fibrin hypersedation diagnosis apparatus 1200 may include a memory 1201, an input/output interface 1203, a communication interface 1205, and/or a controller 1207.

The memory 1201 is a variety of data used by at least one component (input/output interface 1203, communication interface 1205, and/or control unit 1207) of the fibrin and deposition diagnosis device 1200, for example It is possible to store input data or output data for software (eg, a program) and related commands. The memory 1203 may include volatile memory or nonvolatile memory.

According to one embodiment, the memory 1201 may store the learned artificial intelligence algorithm.

For example, the learned artificial intelligence algorithm, according to the control of the controller 1207, based on the input parameter values for distinguishing fibrin and villi in the placenta image for learning, an area corresponding to the fibrin in the placenta image for learning And an algorithm trained to classify an area corresponding to the villi.

For example, parameter values that distinguish fibrin and villi may be input through the input/output interface 1205 or the communication interface 1207.

The input/output interface 1205 transfers commands or data input from a user or other external device to other component(s) of the fibrin hypersedosis diagnosis device 1200, or the fibrin hypersedation diagnosis device 1200, for example. The command or data received from other component(s) of can be output to a user or another external device.

The communication interface 1207 may establish communication between the fibrin and the deposition diagnosis apparatus 1200 and an external device, for example. For example, the communication interface 1207 may be connected to a network through wireless communication or wired communication to communicate with an external device.

The control unit 1201 (also referred to as a control device or control circuit) includes at least one other component of the connected fibrin and deposition diagnosis device 1200 (eg, hardware components (eg, memory 1203), input/output interface 1205), and And/or the communication interface 1207) or software components), and can perform various data processing and operations.

According to an embodiment of the present disclosure, the controller 1201 checks the placenta image of the mother and uses the learned artificial intelligence algorithm stored in the memory 1203 to determine the region corresponding to fibrin and the region corresponding to villi in the placenta image. Confirmation, and based on the region corresponding to the fibrin and the region corresponding to the villi, the condition of the mother can be diagnosed as fibrin hyperdeposition.

For example, the controller 1201 may include, in the placenta image, at least one of a ratio between an area corresponding to the villi and an area corresponding to the fibrin, and an arrangement state of an area corresponding to the villi and an area corresponding to the fibrin. On the basis of this, the condition of the mother can be diagnosed as being normal or the fibrin.

For example, the control unit 1201, in the placenta image, checks the ratio of the region corresponding to the fibrin surrounding at least a portion of the region corresponding to the villi, and the identified ratio corresponds to the predetermined ratio On the basis of this, the condition of the mother can be diagnosed with the fibrin hypercalmosis.

For example, the placenta image may be obtained through an input/output interface 1205 or a communication interface 1207 connected to a microscope that observes the pathological slide of the mother's placenta.

On the other hand, although not shown, the fibrin hypersedation diagnosis apparatus 1200 may further include a display device and/or a speaker, and the controller 1201 controls the display device so that the state of the mother is the fibrin hypersedation. It is possible to output visual information indicating that it has been diagnosed, or to output a voice indicating that the mother's condition has been diagnosed as fibrin hypercalmosis by controlling the speaker.

Embodiments of this document include software that includes instructions stored on a machine-readable storage media (e.g., memory 113 (internal or external memory)). (Eg program). The device is a device that can call a stored command from a storage medium and is operable according to the called command, and may include a fibrin hypersedation diagnosis device 1200 according to the disclosed embodiments. When the command is executed by the controller 1207 (or processor), the controller may perform a function corresponding to the command directly or by using other components under the control of the controller. Instructions can include code that is generated or executed by a compiler or interpreter. The storage medium readable by the device may be provided in the form of a non-transitory storage medium. Here,'non-transitory' means that the storage medium does not contain a signal and is tangible, but does not distinguish between data being stored semi-permanently or temporarily on the storage medium.

According to a date and time example, a method according to various embodiments disclosed in the present document may be provided as being included in a computer program product.

According to an embodiment, as a computer-readable recording medium storing a computer program, an operation of identifying a placenta image of a mother, a region corresponding to fibrin and a villi in the placenta image using a learned artificial intelligence algorithm And instructions for causing the processor to perform a method comprising: identifying an area and diagnosing the state of the mother as fibrin and deposition based on an area corresponding to the fibrin and an area corresponding to the villi. can do.

According to one embodiment, as a computer program stored in a computer-readable recording medium, the operation of checking the placenta image of a mother, a region corresponding to fibrin and the villi in the placenta image using a learned artificial intelligence algorithm And instructions for causing the processor to perform a method comprising: identifying an area and diagnosing the state of the mother as fibrin and deposition based on an area corresponding to the fibrin and an area corresponding to the villi. can do.

The above description is merely illustrative of the technical idea of the present invention, and those skilled in the art to which the present invention pertains may make various modifications and variations without departing from the essential quality of the present invention. Therefore, the embodiments disclosed in the present specification are not intended to limit the technical spirit of the present invention, but to explain, and the scope of the technical spirit of the present invention is not limited by these embodiments. The scope of protection of the present invention should be interpreted by the claims below, and all technical ideas within the scope equivalent thereto should be interpreted as being included in the scope of the present invention.

Claims

As a method for diagnosing fibrin hyperdeposition performed by a device for diagnosing fibrin hyperdeposition

Obtaining a placenta image of a mother;

Identifying a region corresponding to fibrin and a region corresponding to villi in the placenta image using a pre-trained artificial intelligence algorithm; And

And based on an area corresponding to the fibrin and an area corresponding to the villus, diagnosing whether the state of the mother is fibrin and deposition.

Methods for diagnosing fibrin and seizures.
According to claim 1,

The operation of diagnosing whether the mother's condition is fibrin hypercalmosis is

In the placenta image, it is executed based on at least one of a ratio between an area corresponding to the villi and an area corresponding to the fibrin and an arrangement state of an area corresponding to the villi and an area corresponding to the fibrin.

Methods for diagnosing fibrin and seizures.
According to claim 2,

The operation of diagnosing whether the mother's condition is fibrin hypercalmosis is

In the placenta image, determining a ratio of a region corresponding to the fibrin surrounding at least a portion of the region corresponding to the villi, and

And diagnosing the condition of the mother with the fibrin hypercalmosis based on the identified ratio being equal to or higher than a predetermined ratio.

Methods for diagnosing fibrin and seizures.
According to claim 1,

The placenta image of the mother,

Obtained by observing the pathological slide of the mother's placenta with a microscope

Methods for diagnosing fibrin and seizures.
According to claim 1,

Further comprising the step of storing the pre-trained artificial intelligence algorithm in memory,

The artificial intelligence algorithm,

Learning to distinguish an area corresponding to the fibrin and an area corresponding to the villi in the learning placenta image based on an input parameter value for distinguishing fibrin and villi in a placenta image for learning

Methods for diagnosing fibrin and seizures.
A memory storing pre-trained artificial intelligence algorithms; And

Acquiring a placenta image of a mother, using the pre-trained artificial intelligence algorithm to identify a region corresponding to fibrin and a region corresponding to villi in the placenta image, a region corresponding to the fibrin and a region corresponding to the villi On the basis of, the control unit for diagnosing whether the condition of the mother is fibrin hypercalmosis

Fibrin and deposition diagnosis device.
The method of claim 6,

The control unit,

In the placenta image, the state of the mother is the fibrin based on at least one of a ratio between an area corresponding to the villi and an area corresponding to the fibrin and an arrangement state of an area corresponding to the villi and an area corresponding to the fibrin. To diagnose whether it is hypercalmosis

Fibrin and deposition diagnosis device.
The method of claim 7,

The control unit,

In the placenta image, a ratio of a region corresponding to the fibrin surrounding at least a portion of the region corresponding to the villi is checked,

Diagnosing the condition of the mother as being fibrin hypercalmosis based on the identified ratio being greater than or equal to a known ratio.

Fibrin and deposition diagnosis device.
The method of claim 6,

The placenta image of the mother,

Obtained by observing the pathological slide of the mother's placenta with a microscope

Fibrin and deposition diagnosis device.
The method of claim 6,

The previously learned artificial intelligence algorithm,

Learning to distinguish an area corresponding to the fibrin and an area corresponding to the villi from the learning placenta image based on an input parameter value for distinguishing fibrin and villi in the placenta image for learning

Fibrin and deposition diagnosis device.