CN113080936A - Skin disease skin damage range measuring system - Google Patents
Skin disease skin damage range measuring system Download PDFInfo
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- CN113080936A CN113080936A CN202110336115.8A CN202110336115A CN113080936A CN 113080936 A CN113080936 A CN 113080936A CN 202110336115 A CN202110336115 A CN 202110336115A CN 113080936 A CN113080936 A CN 113080936A
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- 208000017520 skin disease Diseases 0.000 title claims abstract description 16
- 230000037380 skin damage Effects 0.000 title claims description 7
- 230000003902 lesion Effects 0.000 claims abstract description 64
- 238000012545 processing Methods 0.000 claims abstract description 27
- 206010040882 skin lesion Diseases 0.000 claims abstract description 19
- 231100000444 skin lesion Toxicity 0.000 claims abstract description 19
- 238000004364 calculation method Methods 0.000 claims abstract description 13
- 230000011218 segmentation Effects 0.000 claims abstract description 12
- 238000001514 detection method Methods 0.000 claims abstract description 9
- 238000003384 imaging method Methods 0.000 claims description 27
- 238000005259 measurement Methods 0.000 claims description 10
- 239000002023 wood Substances 0.000 claims description 5
- 201000010099 disease Diseases 0.000 abstract description 12
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 abstract description 12
- 230000000694 effects Effects 0.000 abstract description 6
- 230000006872 improvement Effects 0.000 description 9
- 230000036285 pathological change Effects 0.000 description 9
- 231100000915 pathological change Toxicity 0.000 description 9
- 206010048768 Dermatosis Diseases 0.000 description 2
- XUMBMVFBXHLACL-UHFFFAOYSA-N Melanin Chemical compound O=C1C(=O)C(C2=CNC3=C(C(C(=O)C4=C32)=O)C)=C2C4=CNC2=C1C XUMBMVFBXHLACL-UHFFFAOYSA-N 0.000 description 2
- 206010047642 Vitiligo Diseases 0.000 description 2
- 230000001678 irradiating effect Effects 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- PXHVJJICTQNCMI-UHFFFAOYSA-N Nickel Chemical compound [Ni] PXHVJJICTQNCMI-UHFFFAOYSA-N 0.000 description 1
- 241000186429 Propionibacterium Species 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 229940121657 clinical drug Drugs 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 229910000652 nickel hydride Inorganic materials 0.000 description 1
- 230000037311 normal skin Effects 0.000 description 1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1075—Measuring physical dimensions, e.g. size of the entire body or parts thereof for measuring dimensions by non-invasive methods, e.g. for determining thickness of tissue layer
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1079—Measuring physical dimensions, e.g. size of the entire body or parts thereof using optical or photographic means
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- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Dentistry (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Physics & Mathematics (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- General Health & Medical Sciences (AREA)
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- Measuring And Recording Apparatus For Diagnosis (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention relates to the technical field of medical detection, and discloses a skin lesion range measuring system for skin diseases, the technical scheme is that the device comprises an image processing end and a light end, wherein the image processing end comprises an image acquisition module and a data processing module, the image acquisition module comprises a data unit, an acquisition unit and a comparison unit, the acquisition unit images the skin lesion area of the patient and generates an initial image, the contrast strategy finds out the corresponding lesion image from the lesion database according to the initial image and then outputs the corresponding light data, the light strategy changes the wavelength of the light source according to the light data to adapt to different disease species, the result image imaged by the acquisition unit is clearer and more accurate, the calculation unit calculates the lesion area of the result image after grid segmentation, the treatment effect of the patient can be more directly and whitely reflected, and the subsequent treatment of doctors is facilitated.
Description
Technical Field
The invention relates to the technical field of medical detection, in particular to a skin lesion range measuring system for skin diseases.
Background
The skin diseases are very common clinically, and have various diseases, complex manifestations and often different skin lesions. In the process of clinically diagnosing and treating skin diseases, the size of the skin lesion area is measured, and the judgment on the effects before and after clinical drug treatment and the effectiveness after treatment have obvious significance on the improvement of the self-confidence of patients and the improvement of the compliance of the treated patients are carried out;
in the prior art, the skin of a patient is shot or scanned by a camera or a scanner, and then the range of a lesion is calculated, but in the process of shooting or scanning the skin of the patient, the result after imaging by the camera or the scanner is unclear due to different conditions of the lesion of the skin of the patient, namely different types of the lesion.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a skin disease skin damage range measuring system which is used for increasing the definition of a camera or a scanner after imaging.
In order to achieve the purpose, the invention provides the following technical scheme: a skin disease and skin damage range measuring system comprises an image processing end and a light end, wherein the image processing end comprises an image acquisition module and a data processing module, the image acquisition module comprises a data unit, an acquisition unit and a comparison unit, the acquisition unit is used for imaging a skin lesion area of a patient and generating an initial image, the data unit is provided with a lesion database, lesion data are configured in the lesion database and comprise lesion images and corresponding light data, the comparison unit generates a comparison strategy according to the initial image, the comparison strategy takes the initial image as an index, and the corresponding light data are called from the lesion data;
the lighting end comprises a lighting module, the lighting module comprises a light source and a lighting unit, the lighting unit is provided with a lighting strategy, the lighting strategy is used for calling the lighting data to adjust the wavelength of the light source and sending a control instruction, so that the obtaining unit can image the skin lesion area of the patient again and generate a result image;
the data processing module comprises a processing unit and a calculating unit, the processing unit performs grid segmentation on the result image, and the calculating unit performs lesion area calculation on the result image after grid segmentation through an algorithm.
As a further improvement of the present invention, the present invention further includes a user information terminal, the user information terminal is configured with a user information database, the user information database is configured with user information, the comparison unit includes a detection policy, the detection policy calls the corresponding lighting data according to the user information, and compares the lighting data with the lighting data called by the comparison policy to determine whether the lighting data and the lighting data are consistent.
As a further improvement of the present invention, the user information terminal is configured with a position database, the obtaining unit includes a camera and a positioning unit, the positioning unit generates position data of the camera when the camera forms an image and stores the position data in the position database, and the position data corresponds to the user information of the patient, the position data includes angle data and height data, the angle data represents an imaging angle when the camera forms an image, and the height data represents an imaging height when the camera forms an image.
As a further improvement of the present invention, the image obtaining module further includes an adjusting unit, the adjusting unit includes an angle adjusting policy and a height adjusting policy, the angle adjusting policy adjusts an imaging angle of the camera according to the angle data, and the height adjusting policy adjusts an imaging height of the camera according to the height data.
As a further improvement of the present invention, the user information end is configured with a lesion data frame, and the lesion data frame is used for recording the lesion area calculated by the calculating unit each time.
As a further improvement of the present invention, the user information terminal includes a sending unit, and the sending unit sends the lesion data frame to the mobile terminal in real time.
As a further development of the invention, the light source comprises a wood lamp.
As a further improvement of the invention, the light strategy adjusts the brightness of the light source according to the light data.
As a further improvement of the present invention, the processing unit includes a distinguishing policy that distinguishes between a mesh filled with lesion skin and a mesh not filled with lesion skin and performs mesh segmentation again on the not filled mesh, and the calculating unit performs calculation of lesion area on the not filled mesh.
The invention has the beneficial effects that: according to the invention, the obtaining unit is used for imaging the skin lesion area of the patient and generating an initial image, the contrast strategy is used for finding a corresponding lesion image from the lesion database according to the initial image, and then outputting corresponding light data, the light strategy is used for changing the wavelength of a light source according to the light data and adapting to different disease types, so that the result image imaged by the obtaining unit is clearer and more accurate, and the calculating unit is used for calculating the lesion area of the result image after grid segmentation, so that the treatment effect of the patient can be embodied more straightly and whitely, and the subsequent treatment of a doctor is facilitated.
Drawings
Fig. 1 is a block diagram of the present invention.
Reference numerals: 1. an image processing terminal; 11. an image acquisition module; 111. a data unit; 112. an acquisition unit; 113. a comparison unit; 12. a data processing module; 2. a light end; 21. a light module; 211. a light source; 212. and a light unit.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. In which like parts are designated by like reference numerals. It should be noted that the terms "front," "back," "left," "right," "upper" and "lower" used in the following description refer to directions in the drawings, and the terms "bottom" and "top," "inner" and "outer" refer to directions toward and away from, respectively, the geometric center of a particular component.
Referring to fig. 1, the skin disease and skin damage range measurement system of the present embodiment includes an image processing end and a lighting end, where the lighting end includes a lighting module, the lighting module includes a light source and a lighting unit, and the lighting unit is configured with a lighting strategy, and the lighting strategy calls the lighting data to adjust a wavelength of the light source, and sends a control instruction, so that the obtaining unit re-images a skin lesion area of a patient to generate a result image; the lighting strategy adjusts the brightness of the light source according to the lighting data, an initial image is only used for distinguishing the disease type, a result image is used for calculating the lesion area, the image processing end comprises an image acquisition module and a data processing module, the image acquisition module comprises a data unit, an acquisition unit and a comparison unit, the acquisition unit is used for imaging the lesion area of the skin of the patient and generating the initial image, the data unit is provided with a lesion database, lesion data are configured in the lesion database, the lesion data comprise lesion images and corresponding lighting data, the lesion images record skin changes caused by various skin diseases, the types of the skin diseases obtained by the patient can be determined by comparing the initial image with the lesion images, and the lighting effect is different according to different skin diseases after lighting irradiation, in order to ensure that after the skin is irradiated by the light, different light data are set for different skin diseases, the light sources with different wavelengths are used for irradiating, the wavelengths are different, the colors irradiated by the light sources are different, or the brightness of the light sources is different, the effect of irradiating the position of the pathological change is also different, so that the position of the pathological change can be clearly displayed, the camera convenient to image can conveniently image, the result image after the camera is imaged again is clearer, the area of the pathological change obtained by the calculating unit is more accurate, and the light sources comprise wood lamps. The wood lamp obtains 320-400nm wavelength ultraviolet rays through a filter disc containing nickel hydride, can accurately judge the aggregation degree of propionibacterium, can accurately detect the loss of melanin, has a special detection effect on vitiligo dermatosis, the skin damage of vitiligo under the wood lamp is pure white, and is clearly contrasted with surrounding normal skin, the contrast unit generates a contrast strategy according to the initial image, and the contrast strategy takes the initial image as an index and takes the corresponding lamplight data from the lesion data;
the data processing module comprises a processing unit and a computing unit, the processing unit performs mesh segmentation on the result image, the calculation unit calculates the lesion area of the result image after the mesh segmentation through an algorithm, the position of the camera image, the actual area of the imaged image, can be actually measured according to the shooting height and the focal length of the camera, after the result image grid is divided, the area of each cell is determined, some cells are filled and some are not filled due to the irregular shape of the diseased skin, for filled cells, the area of a cell is calculated, and for unfilled cells, if the lesion size exceeds half of the cell, the area of one lattice is calculated, and if the lesion range does not exceed half of the small lattice, the lesion area is not counted. The processing unit comprises a distinguishing strategy, the distinguishing strategy distinguishes grids filled with lesion skin from grids not filled with lesion skin and carries out grid segmentation on the grids not filled with the lesion skin again, the calculating unit carries out calculation of lesion areas on the grids not filled with the lesion skin, the calculating unit carries out grid segmentation on the grids not filled with the lesion skin again for small grids not filled with the small grids, and the calculation method is carried out on the grids segmented again, so that the calculation result is refined, more accurate and error is reduced.
Referring to fig. 1, the lighting system further includes a user information terminal, the user information terminal is configured with a user information database, the user information database is configured with user information, the user information includes user personal identity information and a disease state and a disease type of a user, the comparison unit includes a detection policy, the detection policy calls the corresponding light data according to the user information and compares the light data with the corresponding light data called by the comparison policy to determine whether the light data and the disease type are identical, the disease type of the user and the disease type compared by the comparison unit from the disease data according to the initial image are identical, if not identical, the comparison of the initial image can be re-executed, or the camera re-generates the initial image and then performs the comparison, or the user information can be called to execute the light data under the disease type in the user information to avoid misjudging the disease type, the light data is wrong, and the imaging of the camera is not clear.
Referring to fig. 1, the user information terminal is configured with a position database, the obtaining unit includes a camera and a positioning unit, the positioning unit generates position data of the camera when the camera forms an image and stores the position data in the position database, the position data corresponds to the user information of a patient, the position data includes angle data and height data, the angle data represents an imaging angle when the camera forms an image, and the height data represents an imaging height when the camera forms an image, so that the camera adjusts to the same position when the camera forms an image according to different users each time, the imaging angle and the imaging height of the camera are consistent, the result based on the calculating unit is more accurate, and the obtained calculation result has more contrast after the front and back imaging. The image acquisition module further comprises an adjusting unit, the adjusting unit comprises an angle adjusting strategy and a height adjusting strategy, the angle adjusting strategy adjusts the imaging angle of the camera according to the angle data, and the height adjusting strategy adjusts the imaging height of the camera according to the height data.
Referring to fig. 1, the user information end is configured with a lesion data frame, and the lesion data frame is used for recording the lesion area calculated by the calculating unit each time, so that the change condition of the lesion range of the patient can be observed through the lesion data frame, and the treatment is facilitated. The user information terminal comprises a sending unit, the sending unit sends the lesion data frame to a mobile terminal in real time, the mobile terminal can be a mobile phone, and doctors or family members of patients can know the examination condition of the patients through the mobile terminal.
The working principle is as follows: when the skin of a pathological change part of a patient is imaged, a camera firstly images and generates an initial image, a comparison strategy finds out a corresponding pathological change image according to the initial image, then corresponding lamplight data is output, for example, if the patient is a leucoderma dermatosis, the lamplight data is 320-400nm long-wave ultraviolet, the wavelength of a light source is changed, so as to irradiate the pathological change position, at the moment, the camera performs imaging again to generate a result image, a processing unit performs grid segmentation on the result image, a calculation unit performs area calculation on a pathological change range, the calculation result is recorded in a pathological change data frame, and when the pathological change skin of the same position of the patient at different periods is imaged, an adjustment unit adjusts the imaging height and the imaging angle of the camera according to position data, so that the imaging positions of the camera of the patient are consistent during imaging.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (9)
1. The utility model provides a skin disease skin damage range measurement system, includes image processing end and lamp end, its characterized in that: the image processing terminal comprises an image acquisition module and a data processing module, the image acquisition module comprises a data unit, an acquisition unit and a comparison unit, the acquisition unit is used for imaging a skin lesion area of a patient and generating an initial image, the data unit is provided with a lesion database, lesion data are configured in the lesion database, the lesion data comprise lesion images and corresponding lighting data, the comparison unit generates a comparison strategy according to the initial image, the comparison strategy takes the initial image as an index, and the corresponding lighting data are called from the lesion data;
the lighting end comprises a lighting module, the lighting module comprises a light source and a lighting unit, the lighting unit is provided with a lighting strategy, the lighting strategy is used for calling the lighting data to adjust the wavelength of the light source and sending a control instruction, so that the obtaining unit can image the skin lesion area of the patient again and generate a result image;
the data processing module comprises a processing unit and a calculating unit, the processing unit performs grid segmentation on the result image, and the calculating unit performs lesion area calculation on the result image after grid segmentation through an algorithm.
2. A skin lesion extent measurement system as defined in claim 1, wherein: the lighting data comparison unit comprises a detection strategy, the detection strategy calls the corresponding lighting data according to the user information, compares the lighting data with the corresponding lighting data called by the comparison strategy, and judges whether the lighting data and the lighting data are consistent.
3. A skin lesion extent measurement system as defined in claim 2, wherein: the user information end is provided with a position database, the acquisition unit comprises a camera and a positioning unit, the positioning unit generates position data of the camera when the camera images and stores the position data in the position database, the position data correspond to the user information of a patient, the position data comprise angle data and height data, the angle data represent an imaging angle when the camera images, and the height data represent an imaging height when the camera images.
4. A skin lesion extent measurement system as defined in claim 3, wherein: the image acquisition module further comprises an adjusting unit, the adjusting unit comprises an angle adjusting strategy and a height adjusting strategy, the angle adjusting strategy adjusts the imaging angle of the camera according to the angle data, and the height adjusting strategy adjusts the imaging height of the camera according to the height data.
5. The skin lesion extent measurement system of claim 4, wherein: the user information end is configured with a lesion data frame, and the lesion data frame is used for recording the lesion area calculated by the calculation unit each time.
6. A skin lesion extent measurement system as defined in claim 5, wherein: the user information terminal comprises a sending unit, and the sending unit sends the lesion data frame to the mobile terminal in real time.
7. A skin lesion extent measurement system as defined in claim 5, wherein: the light source comprises a wood lamp.
8. A skin lesion extent measurement system as defined in claim 7, wherein: and the light strategy adjusts the brightness of the light source according to the light data.
9. A skin lesion extent measurement system as defined in claim 5, wherein: the processing unit comprises a distinguishing strategy, the distinguishing strategy distinguishes grids filled with lesion skin from grids not filled with lesion skin, the grids not filled with the lesion skin are divided again, and the calculating unit calculates lesion areas of the grids not filled with the lesion skin.
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| CN202110336115.8A CN113080936B (en) | 2021-03-29 | 2021-03-29 | Skin disease skin damage scope measurement system |
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| CN202110336115.8A CN113080936B (en) | 2021-03-29 | 2021-03-29 | Skin disease skin damage scope measurement system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113663226A (en) * | 2021-07-31 | 2021-11-19 | 天一智能科技(东莞)有限公司 | Full-spectrum LED illumination based beauty method, device, equipment and medium |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050010102A1 (en) * | 2003-03-20 | 2005-01-13 | Marchesini Renato Angelo | Apparatus for the characterisation of pigmented skin lesions |
| US20050195316A1 (en) * | 2001-11-08 | 2005-09-08 | Ethicon, Inc. | Apparatus for and method of taking and viewing images of the skin |
| US6993167B1 (en) * | 1999-11-12 | 2006-01-31 | Polartechnics Limited | System and method for examining, recording and analyzing dermatological conditions |
| EP1827229A1 (en) * | 2004-10-29 | 2007-09-05 | Johnson and Johnson Consumer Companies, Inc. | Apparatus for and method of taking and viewing images of the skin |
| CN105578953A (en) * | 2013-07-22 | 2016-05-11 | 洛克菲勒大学 | Optical detection of skin disease |
| CN205597891U (en) * | 2013-03-11 | 2016-09-28 | 西迈技术控股私人有限公司 | A device for diagnosing skin and/or scalp situation |
| KR20160119400A (en) * | 2015-04-03 | 2016-10-13 | 재단법인대구경북과학기술원 | Portable spectral imaging device, user mobile terminal, server, method and software program for diagnosis and management of skin |
| US20190053750A1 (en) * | 2017-08-18 | 2019-02-21 | Massachusetts Institute Of Technology | Automated surface area assessment for dermatologic lesions |
| KR20190074688A (en) * | 2017-12-20 | 2019-06-28 | 이혜정 | Method and system for providing skin care and color makeup information by analyzing skin using light emitting mirror |
| US20190343450A1 (en) * | 2017-10-26 | 2019-11-14 | Chang Sik Park | Apparatus for measuring skin state by multi-wavelength light source |
| WO2020104896A1 (en) * | 2018-11-23 | 2020-05-28 | Politecnico Di Torino | Device and method for detecting and monitoring cutaneous diseases |
-
2021
- 2021-03-29 CN CN202110336115.8A patent/CN113080936B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6993167B1 (en) * | 1999-11-12 | 2006-01-31 | Polartechnics Limited | System and method for examining, recording and analyzing dermatological conditions |
| US20050195316A1 (en) * | 2001-11-08 | 2005-09-08 | Ethicon, Inc. | Apparatus for and method of taking and viewing images of the skin |
| US20050010102A1 (en) * | 2003-03-20 | 2005-01-13 | Marchesini Renato Angelo | Apparatus for the characterisation of pigmented skin lesions |
| EP1827229A1 (en) * | 2004-10-29 | 2007-09-05 | Johnson and Johnson Consumer Companies, Inc. | Apparatus for and method of taking and viewing images of the skin |
| CN205597891U (en) * | 2013-03-11 | 2016-09-28 | 西迈技术控股私人有限公司 | A device for diagnosing skin and/or scalp situation |
| CN105578953A (en) * | 2013-07-22 | 2016-05-11 | 洛克菲勒大学 | Optical detection of skin disease |
| CN110742579A (en) * | 2013-07-22 | 2020-02-04 | 洛克菲勒大学 | System and method for optical detection of skin diseases |
| KR20160119400A (en) * | 2015-04-03 | 2016-10-13 | 재단법인대구경북과학기술원 | Portable spectral imaging device, user mobile terminal, server, method and software program for diagnosis and management of skin |
| US20190053750A1 (en) * | 2017-08-18 | 2019-02-21 | Massachusetts Institute Of Technology | Automated surface area assessment for dermatologic lesions |
| US20190343450A1 (en) * | 2017-10-26 | 2019-11-14 | Chang Sik Park | Apparatus for measuring skin state by multi-wavelength light source |
| KR20190074688A (en) * | 2017-12-20 | 2019-06-28 | 이혜정 | Method and system for providing skin care and color makeup information by analyzing skin using light emitting mirror |
| WO2020104896A1 (en) * | 2018-11-23 | 2020-05-28 | Politecnico Di Torino | Device and method for detecting and monitoring cutaneous diseases |
Non-Patent Citations (2)
| Title |
|---|
| 王聪敏 等: "《皮肤美容科护士规范操作指南》", vol. 978, 30 April 2016, 中国医药科技出版社, pages: 132 - 134 * |
| 顾恒: "《光皮肤病学》", vol. 978, 31 January 2009, 人民军医出版社, pages: 78 - 81 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113663226A (en) * | 2021-07-31 | 2021-11-19 | 天一智能科技(东莞)有限公司 | Full-spectrum LED illumination based beauty method, device, equipment and medium |
| CN113663226B (en) * | 2021-07-31 | 2022-06-24 | 天一智能科技(东莞)有限公司 | Full-spectrum LED illumination based beauty device and electronic equipment |
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| CN113080936B (en) | 2024-10-01 |
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