AU2021104757A4 - Intelligent breast cancer detection system based on machine learning with effective fuzzy segmentation and classification method - Google Patents

Abstract

INTELLIGENT BREAST CANCER DETECTION SYSTEM BASED ON MACHINE LEARNING WITH EFFECTIVE FUZZY SEGMENTATION AND CLASSIFICATION METHOD ABSTRACT The present invention is related to intelligent breast cancer detection system based on machine learning with effective fuzzy segmentation and classification method. The objective of present invention is to solve the abnormalities presented in the prior art techniques related to machine learning based detection of breast cancer. 25 DRAWINGS Biomedical Sensor 4I Preprocessing Unit Machine learning module etection of O y east Cancer FIGURE 1 26

Description

DRAWINGS

Biomedical Sensor

4I Preprocessing Unit

Machine learning module

etection of O y east Cancer

FIGURE 1

INTELLIGENT BREAST CANCER DETECTION SYSTEM BASED ON MACHINE LEARNING WITH EFFECTIVE FUZZY SEGMENTATION AND CLASSIFICATION METHOD FIELD OF INVENTION

[001]. The present invention relates to the technical field of biomedical

engineering.

[002]. The present invention relates to the field of machine learning

based biomedical parameter detection.

[003]. Particularly, the present invention relates to the field machine

learning based breast cancer detection.

[004]. More particularly, the present invention is related to intelligent

breast cancer detection system based on machine learning with

effective fuzzy segmentation and classification method.

BACKGROUND & PRIOR ART

[005]. The subject matter discussed in the background section should

not be assumed to be prior art merely as a result of its mention in the

background section. Similarly, a problem mentioned in the

background section or associated with the subject matter of the

background section should not be assumed to have been previously

recognized in the prior art. The subject matter in the background

section merely represents different approaches, which in-and-of

themselves may also be inventions.

[006]. Some of the work listed herewith:

[007]. 2016038365SERUM TUMOR MARKER FOR BREAST CANCER

DETECTION, BREAST CANCER DETECTION KIT, AND BREAST

CANCER DETECTION METHOD JP - 22.03.2016 Int.Class GOIN

33/574 Appl.No 2014163993 Applicant KONO NORIO Inventor MUKAI

KIYOSHI PROBLEM TO BE SOLVED: To solve the problems in a

conventional known serum tumor marker, that it is difficult to detect breast

cancer in an early stage, and false positive results occur often, namely,

there is no serum tumor marker by which breast cancer can be detected in

an early stage and having high specificity, therefore, it is desired to develop

a serum tumor marker by which breast cancer can be detected in an early stage and having high specificity; and to provide a serum tumor marker, while considering the above-mentioned problems, which is effective for selective detection of breast cancer, a kit for selective detection of breast cancer, and a selective detection method of breast cancer using the serum tumor marker. SOLUTION: Provided is the serum tumor marker for breast cancer detection, including DJ-1 protein.

[008]. 20160106388BREAST CANCER DETECTION SYSTEM, BREAST

CANCER DETECTION METHOD, BREAST CANCER DETECTION PROGRAM, AND COMPUTER-READABLE RECORDING MEDIUM HAVING BREAST CANCER DETECTION PROGRAM RECORDED

THEREON US - 21.04.2016 Int.Class G06T 7/00 Appl.No 14892134

Applicant TOHOKU UNIVERSITY Inventor Noriyasu Homma A model

calculating device calculates a mammary gland normal architecture model

that scatters in a fan shape from the nipple toward the greater pectoral

muscle with respect to the X-ray image of the breast. An orientation

extracting device extracts linear components orientations of a region image

texture that form a shape of a shadow in the breast X-ray image using a

Gabor filter. A lesion determining device compares the mammary gland

orientation in the normal architecture model calculated by the model

calculating device and the orientation extracted by the orientation

extracting device with respect to a region of interest in the X-ray image of the breast including architectural distortion candidates of the mammary gland detected by a preprocessing device to calculate a feature quantity based on a difference between the orientations and determines whether the candidates are an architectural distortion of the mammary gland based on the feature quantity.

[009]. 1390931BREAST CANCER DETECTION EP - 25.02.2004 Int.Class

G09B23/30ppl.No02718406 Applicant HAQUE PAULIN Inventor

HAQUE PAULIN A training aid to be used in training women or men to

carry out examination of their breasts to give early warning of the

development of possibly cancerous lumps. The aid is in the form of a life

size replica torso (10), with two breasts made so that they are as alike as

possible in size, texture and position to human breasts. One breast (20) is

formed with a texture and/or implants representative of diseases where the

symptoms are detectable by touch, while the other breast (22) is made to

resemble a healthy, undiseased breast.

[0010]. 20080103387BREAST CANCER DETECTION AND BIOPSY US

01.05.2008 Int.Class A61B 6/04 Appl.No 11662883 Applicant Scientific

Biospy Ltd. Inventor Gross Jacob A breast compression device suitable for

compressing a breast for an x-ray guided biopsy, the device comprising: a)

a base for contacting a portion of the surface of the breast; b) a flexible

band, anchored to the base, adapted to be positioned on a side of the breast opposite the base, when the breast is inserted between the base and the band, which band is adapted to be wrapped at least part way around the breast; and c) a tensioning device, adapted to tension the flexible band around the inserted breast when the flexible band is anchored to the base, thereby compressing the breast between the flexible band and the base. A system for performing a biopsy of a breast lesion of a patient in a reclining position, the system comprising: a) a chair with a back that has an upright position and at least one reclining position; b) a compression device adapted to hold a breast of the patient seated in the chair in a compressed state, when the chair back is in the upright position or in at least one reclining position; and c) a biopsy unit having a biopsy element and being coupled to the chair back at least in a reclining position.

[0011]. 1109252BREAST CANCER DETECTION TRAINING SYSTEM

CA - 22.09.1981 Int.Class G09B 19/00 Appl.No 312932 Applicant

Inventor ADAMS, CALVIN K. BREAST CANCER DETECTION

TRAINING SYSTEM Abstract of the Disclosure A method, apparatus and

a lifelike model of a human female breast form a breast cancer detection

training system. The model closely simulates the feeling of the different

tissues of the human breast and except for a tumor-free comparison model,

contains at least one simulated tumor. When used in conjunction with the

elec- tronic training apparatus, the model also contains a pressure sensing means. The apparatus and method compare signals initiated by the trainee with stored signals representative of the number of simulated tumors in the model, their location, and the pressure required to feel them and provide feedback information to the trainee so as to improve the trainee's examination technique.

[0012]. WO/2006/030436BREAST CANCER DETECTION AND BIOPSY

WO - 23.03.2006 Int.Class A61B 8/00 Appl.No PCT/IL2005/000988

Applicant SCIENTIFIC BIOPSY LTD. Inventor GROSS, Jacob A system

for performing a breast biopsy. The system includes a breast compression

device, an ultrasound imaging unit and a biopsy module capable directing a

biopsy needle to a lesion in the breast, guided at least in part by ultrasound

images. The system may optionally include a piece of furniture, such as

table or a reclining chair.

[0013]. 2002272745BREAST CANCER DETECTOR JP

24.09.20021nt.Class A61B 10/OOAppl.No 001072510 Applicant

HAMAMATSU PHOTONICS KK Inventor MIWA MITSUHARU

PROBLEM TO BE SOLVED: To provide a breast cancer detector capable

of safely and easily detecting the breast cancer without causing pain to a

patient. SOLUTION: The breast cancer detector is equipped with a light

pervious breast press member 1 having a press surface 4 pressed to the

breast of the subject and capable of observing the breast pressed to the body from the opposite surface of the press surface 4, a light source means

2 for irradiating the breast of the range to which the press surface 4 is

pressed with light having a predetermined wavelength and an image pickup

means 3 having sensitivity with respect to the light from the breast caused

by the irradiation light from the light source means 2 and obtaining the

image of the breast through the light pervious breast press member 1.

Breast cancer is detected from the image of the breast obtained by the

image pickup means 3. Therefore, by pressing the breast to the body by the

breast press member 1 to make the same thin, the breast of the range to

which the press surface 4 is pressed is uniformly irradiated with the light

from the light source means 2. The light from the breast caused by the

irradiation light is obtained by the image pickup means 3 and breast cancer

in the breast is detected from the obtained image.

[0014]. 1020190042392BREAST CANCER DETECTING KIT USING

SALIVA, AND BREAST CANCER DETECTING METHOD USING

SAME KR - 24.04.2019 Int.Class GOIN 33/574 Appl.No 1020170134264

Applicant HENRY TECHNOLOGY CO., LTD. Inventor JONG HA LEE

The present invention relates to a breast cancer detecting kit using saliva,

capable of detecting and treating a breast cancer of women at an early

stage. The breast cancer detecting kit comprises: a collection module

collecting saliva of a user; a detection module detecting a breast cancer marker from the saliva; an analysis module analyzing the occurrence of the breast cancer; and a display module displaying to confirm the occurrence of the breast cancer.

[0015]. WO/2004/073618BREAST CANCER DETECTION SYSTEM WO

02.09.2004 Int.Class A61B 5/05 Appl.No PCT/US2004/004248 Applicant

UNIVERSITY OF FLORIDA Inventor LI, Jian A method for detecting

breast cancer can include the step of positioning a transmitting antenna and

a receiving antenna about a breast so that the transmitting antenna is

positioned to transmit microwave energy into the breast and the receiving

antenna is positioned to receive the transmitted energy after the energy has

passed into the breast. Microwave energy can be transmitted from the

transmitting antenna. The microwave energy can be received by the

receiving antenna and used to determine a presence of tumors within the

breast. A relative position of the transmitting antenna and the receiving

antenna can be adjusted about the breast. After each position adjustment

the transmitting and the receiving steps can be repeated.

[0016]. WO/2020/245590BREAST CANCER DETECTION METHODS

WO - 10.12.2020 Int.Class C12Q 1/6886 Appl.No PCT/GB2020/051352

Applicant CAMBRIDGE ENTERPRISE LIMITED Inventor KHALED,

Walid T. The present invention relates to a method of assessing the

likelihood of a subject having breast cancer or a precancerous condition associated with breast cancer. The present invention also relates to a method of determining whether treatment of breast cancer in a subject is required, and to a chemotherapeutic agent for use in the treatment of a subject in need of said treatment.

[0017]. 20030197127SPECT FOR BREAST CANCER DETECTION US

23.10.2003 Int.Class GOT 1/24 Appl.No 10426543 Applicant Elgems

Ltd. Inventor Wainer, Naor A nuclear imaging system for imaging of the

breast including at least one gamma camera, having a radiation detecting

surface, which detects gamma radiation and provides data signals

responsive to radiation from the breast and a collimator, positioned over

the reception surface. The system includes a gantry on which the radiation

detector is mounted and which provides rotational movement of the

radiation detection surface around the axis of the breast and a computer

which receives and analyzes the data signals and constructs an image of

radiation sources therefrom. The radiation detection surface of the at least

one gamma camera is tilted with respect to the axis during rotation of the at

least one gamma camera about the axis, such that it is partially facing the

chest of a study subject. Alternatively, the collimator has septa its center

which accept radiation from a direction perpendicular to the radiation

detection surface and septa near an edge of the collimator which accept radiation from an outward facing acute angle to the perpendicular direction.

[0018]. 1288939BREAST CANCER DETECTION TRAINING DEVICE CA

- 17.09.1991 Int.Class G09B 23/28 Appl.No 560374 Applicant Inventor

ABRAMSON, DANIEL J. BREAST CANCER DETECTION TRAINING

DEVICE Abstract of the Disclosure A method and apparatus for use in

training persons in breast cancer detection by manual examination is

disclosed. The apparatus includes a device which simulates human breast

tissue and a plurality of simulated lesions which are designed to represent

specific lesions found in human breast tissue. The apparatus is employed to

train a person in manual breast examination and also serves to train a

person to recognize many different types of lesions found in human breast

tissue.

[0019]. 3816303BREAST CANCER DETECTION KIT OR DEVICE, AND

METHOD FOR DETECTING BREAST CANCER EP - 05.05.2021

Int.Class C12Q 1/6886 Appl.No 20207448 Applicant TORAY

INDUSTRIES Inventor KONDOU SATOSHI It is intended to provide a

kit or a device for the detection of breast cancer and a method for detecting

breast cancer. The present invention provides a kit or a device for the

detection of breast cancer, comprising nucleic acid(s) capable of specifically binding to a miRNA in a sample of a subject, and a method for detecting breast cancer, comprising measuring the niiRNA in vitro.

[0020]. 208076540A KIT FOR BREAST CANCER DETECTION CN

09.11.2018 Int.Class GOIN33/574 Appl.No201820403691.3 Applicant

ZHANGZHOU LONGWENWEIKE INFORMATION TECHNOLOGY

CO., LTD. Inventor GUAN CHAOJUN The utility model discloses a kit

for breast cancer detection, including the kit, the inner wall bottom center

department rigid coupling of kit has a plurality of first interior pieces, the

top rigidcoupling of piece has the roof in the third, the top outer wall of kit

has cup jointed the buckle closure, the kit is the slip joint with the buckle

closure, the equal rigid coupling of both ends center department has the

lateral mass about the outer wall of buckle closure, the inner wall of lateral

mass has cup jointed first branch, first branch and lateral mass swing joint,

the inboard center department of outer wall of thread bush controls the both

ends top through second branch with the outer wall of kit and links to each

other. This a kit for breast cancer detection places reagent when pipe when

needs, through the cooperation of kit and buckle closure, can reduce when

the reagent pipe is placed through the device and rock, makes

simultaneously and places more convenient and fast, effectual avoided

rocking producing to scrape bump, the effectual reagent pipe of having protected produces the probability of breakage, influences holistic detection achievement behind the avoid damage.

[0021]. 212465970ULTRASONIC PHOTOACOUSTIC BREAST CANCER

DETECTOR AND MEDICAL EQUIPMENT CN - 05.02.2021 Int.Class

A61B 5/00 Appl.No 202020662187.2 Applicant DOBI MEDICAL

INTERNATIONAL, INC. Inventor SUN HONGYAN The invention

discloses an ultrasonic photoacoustic breast cancer detector and medical

equipment, relates to the technical field of medical equipment, and

comprises an ultrasonic detection module forcollecting ultrasonic signals

and a photoacoustic detection module for collecting photoacoustic signals.

The morphological structure image obtained by the ultrasonic detection

system and the photoacoustic image obtained by the photoacoustic system

are fused, so that the diagnosis accuracy and efficiency are improved..

[0022]. .Groupings of alternative elements or embodiments of the invention

disclosed herein are not to be construed as limitations. Each group member

can be referred to and claimed individually or in any combination with

other members of the group or other elements found herein. One or more

members of a group can be included in, or deleted from, a group for

reasons of convenience and/or patentability. When any such inclusion or

deletion occurs, the specification is herein deemed to contain the group as modified thus fulfilling the written description of all Markus groups used in the appended claims.

[0023]. As used in the description herein and throughout the claims that

follow, the meaning of "a," "an," and "the" includes plural reference unless

the context clearly dictates otherwise. Also, as used in the description herein,

the meaning of "in" includes "in" and "on" unless the context clearly

dictates otherwise.

[0024]. The recitation of ranges of values herein is merely intended to serve as

a shorthand method of referring individually to each separate value falling

within the range. Unless otherwise indicated herein, each individual value is

incorporated into the specification as if it were individually recited herein.

All methods described herein can be performed in any suitable order unless

otherwise indicated herein or otherwise clearly contradicted by context.

[0025]. The use of any and all examples, or exemplary language (e.g. "such

as") provided with respect to certain embodiments herein is intended merely

to better illuminate the invention and does not pose a limitation on the scope

of the invention otherwise claimed. No language in the specification should

be construed as indicating any non-claimed element essential to the practice

of the invention.

[0026]. The above information disclosed in this Background section is

only for enhancement of understanding of the background of the

invention and therefore it may contain information that does not form

the prior art that is already known in this country to a person of

ordinary skill in the art.

SUMMARY

[0027]. The present invention mainly cures and solves the technical

problems existing in the prior art. In response to these problems, the

present invention provides intelligent breast cancer detection system

based on machine learning with effective fuzzy segmentation and

classification method.

[0028]. As one aspect of the present invention relates to a system of

machine learning and artificial intelligence based intelligent betting

module for sports, wherein the system comprising: a betting

interface for applying a betting when playing a sports,

the betting interface comprising a representation panel screen for

displaying at least a part of the sports being played and a control

module which is repositionable along a control module path which is orientated to extend from a part of the representation panel to an second part of the representation panel, wherein the control module path comprises a plurality of points distributed the wallet of the online users, the control module being attracted to a location of a grained points disposed proximate thereto, such that the control module is required to overcome a level attraction to the location of the proximate grained points in order to move along the path to a location of an adjacent grained points, wherein the betting applied when playing the sports is dependent on the position of the control module along the path, wherein the control module performs the method of steps: providing a central sports site accessible to a plurality of online users over an electronic platform; initiating a round of black jack among the plurality of online users and a dealer, wherein the round of gaming rules comprises playing a predetermined number of prediction try of gaming rules; dealing the predetermined number of prediction try of gaming rules to the plurality of online users and the dealer from a limited set of points values representing points; and declaring one or more winners after the predetermined number of prediction try have been played.

OBJECTIVE OF THE INVENTION

[0029]. The principle objective of the present invention is to provide

intelligent breast cancer detection system based on machine learning

with effective fuzzy segmentation and classification method.

BRIEF DESCRIPTION OF DRAWINGS

[0030]. Further clarify various aspects of some example embodiments of

the present invention, a more particular description of the invention

will be rendered by reference to specific embodiments thereof which

are illustrated in the appended drawings. It is appreciated that these

drawings depict only illustrated embodiments of the invention and are

therefore not to be considered limiting of its scope. The invention will

be described and explained with additional specificity and detail

through the use of the accompanying drawings.

[0031]. In order that the advantages of the present invention will be

easily understood, a detailed description of the invention is discussed

below in conjunction with the appended drawings, which, however,

should not be considered to limit the scope of the invention to the

accompanying drawings, in which:

[0032]. Figure 1 shows an exemplary representation of intelligent breast

cancer detection system based on machine learning with effective

fuzzy segmentation and classification method, according to the

present invention.

DETAIL DESCRIPTION

[0033]. The present invention discloses intelligent breast cancer

detection system based on machine learning with effective fuzzy

segmentation and classification method.

[0034]. Figure 1 shows the exemplary representation of intelligent

breast cancer detection system based on machine learning with

effective fuzzy segmentation and classification method, according to

the present invention.

[0035]. Although the present disclosure has been described with the

purpose of two smart frameworks for providing privacy and protection

in block chain based private transactions using cloud computing

approach, it should be appreciated that the same has been done merely

to illustrate the invention in an exemplary manner and to highlight any

other purpose or function for which explained structures or

configurations could be used and is covered within the scope of the

present disclosure.

[0036]. An intelligent breast cancer detection system based on machine

learning with effective fuzzy segmentation and classification

method. the system comprising A biomedical sensor.

[0037]. The biomedical sensor us used for simultaneously detecting

breast cancer related features of breast cancer in an image sensor

sample to diagnose and/or early diagnose breast cancer as well as to

predict the onset risk of breast cancer in first-degree.

[0038]. It is prepared by forming a linking layer on the breast and

immobilizing of one or more breast cancer detection related antigens

or antibodies on the surface of the linking layer of breasts using a

classification and detection method.

[0039]. These method comprising Acquiring an image by monitoring

the breast of the person using a plurality of sensors.

[0040]. Then Preprocessing is performed by a computing device, the

image to generate a preprocessed image.

[0041]. Then detection is done by the computing device, a plurality of

breast cancer features from the preprocessed image.

[0042]. The extracting is performed by the computing device, a first set

of feature biological parameters from the plurality of breast cancer

features;

[0043]. Then Comparing is performed by the computing device, the

first set of biological parameters with a second set of biological

parameters, wherein the second set of biological parameters are

extracted from a control group of individuals.

[0044]. The computing device is analysed the first set of biological

parameters with a second set of biological parameters, using a

machine learning algorithm with fuzzy logic algorithm that includes

selection of features from the image based on an impact coefficient

computed from a ratio of correlation between pulse rate variability

features in an input data set of the image and output being a function

of a pulse rate variability features of a number of patients.

[0045]. The computing device detect a pre-breast cancer or breast

cancer condition based on the comparison.

[0046]. The computing device is a processor based computing device.

[0047]. The biomedical sensor is a visual sensor based biomedical

sensor.

[0048]. The biological parameters are the physiological parameters of

the human body.

[0049]. The figures and the foregoing description give examples of

embodiments. Those skilled in the art will appreciate that one or

more of the described elements may well be combined into a single

functional element. Alternatively, certain elements may be split into

multiple functional elements. Elements from one embodiment may

be added to another embodiment.

[0050]. For example, order of processes described herein may be

changed and are not limited to the manner described herein.

Moreover, the actions of any block diagram need not be

implemented in the order shown; nor do all of the acts need to be

necessarily performed. Also, those acts that are not dependent on

other acts may be performed in parallel with the other acts. The

scope of embodiments is by no means limited by these specific

examples.

[0051]. Although implementations of the invention have been described

in a language specific to structural features and/or methods, it is to

be understood that the appended claims are not necessarily limited to

the specific features or methods described. Rather, the specific

features and methods are disclosed as examples of implementations

of the invention.

Claims (4)

CLAIMS I/We claim:

1. An intelligent breast cancer detection system based on

machine learning with effective fuzzy segmentation and

classification method, wherein the system comprising:

A biomedical sensor, used for simultaneously detecting breast

cancer related features of breast cancer in an image sensor

sample to diagnose and/or early diagnose breast cancer as well

as to predict the onset risk of breast cancer in first-degree,

prepared by forming a linking layer on the breast and

immobilizing of one or more breast cancer detection related

antigens or antibodies on the surface of the linking layer of

breasts using a classification and detection method, wherein the

method comprising:

Acquiring an image by monitoring the breast of the person using

a plurality of sensors;

Preprocessing, by a computing device, the image to generate a

preprocessed image; detecting by the computing device, a

plurality of breast cancer features from the preprocessed image;

extracting by the computing device, a first set of feature

biological parameters from the plurality of breast cancer

features;

Comparing by the computing device, the first set of biological

parameters with a second set of biological parameters, wherein

the second set of biological parameters are extracted from a

control group of individuals;

Analyzing by the computing device, the first set of biological

parameters with a second set of biological parameters, using a

machine learning algorithm with fuzzy logic algorithm that

includes selection of features from the image based on an impact coefficient computed from a ratio of correlation between pulse rate variability features in an input data set of the image and output being a function of a pulse rate variability features of a number of patients and

Detecting by the computing device, the person is in at least one

of a normal, a pre-breast cancer or breast cancer condition based

on the comparison.

2. The intelligent breast cancer detection system based on

machine learning with effective fuzzy segmentation and

classification method as claimed in claim 1, the computing

device is a processor based computing device.

3. The intelligent breast cancer detection system based on

machine learning with effective fuzzy segmentation and

classification method as claimed in claim 1, the biomedical

sensor is a visual sensor based biomedical sensor.

4. The intelligent breast cancer detection system based on

machine learning with effective fuzzy segmentation and

classification method as claimed in claim 1, wherein the

biological parameters are the physiological parameters of the

human body.