AU2020297355B2 - Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient - Google Patents

Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient Download PDF

Info

Publication number
AU2020297355B2
AU2020297355B2 AU2020297355A AU2020297355A AU2020297355B2 AU 2020297355 B2 AU2020297355 B2 AU 2020297355B2 AU 2020297355 A AU2020297355 A AU 2020297355A AU 2020297355 A AU2020297355 A AU 2020297355A AU 2020297355 B2 AU2020297355 B2 AU 2020297355B2
Authority
AU
Australia
Prior art keywords
skin tone
image
base skin
patient
diagnosis
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
AU2020297355A
Other languages
English (en)
Other versions
AU2020297355A1 (en
Inventor
Elektra Efstratiou ALIVISATOS
Elizabeth Asai
Joseph Ferrante
Elliot Swart
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Digital Diagnostics Inc
Original Assignee
Digital Diagnostics Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Digital Diagnostics Inc filed Critical Digital Diagnostics Inc
Publication of AU2020297355A1 publication Critical patent/AU2020297355A1/en
Application granted granted Critical
Publication of AU2020297355B2 publication Critical patent/AU2020297355B2/en
Priority to AU2024227375A priority Critical patent/AU2024227375B2/en
Priority to AU2026201660A priority patent/AU2026201660A1/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • A61B5/0013—Medical image data
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
    • A61B5/0077—Devices for viewing the surface of the body, e.g. camera, magnifying lens
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/1032—Determining colour of tissue for diagnostic purposes
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/44—Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
    • A61B5/441—Skin evaluation, e.g. for skin disorder diagnosis
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/44—Detecting, measuring or recording for evaluating the integumentary system, e.g. skin, hair or nails
    • A61B5/441—Skin evaluation, e.g. for skin disorder diagnosis
    • A61B5/444—Evaluating skin marks, e.g. mole, nevi, tumour, scar
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6898—Portable consumer electronic devices, e.g. music players, telephones, tablet computers
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271—Specific aspects of physiological measurement analysis
    • A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/24765—Rule-based classification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G06T7/0014—Biomedical image inspection using an image reference approach
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/56—Extraction of image or video features relating to colour
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/72—Data preparation, e.g. statistical preprocessing of image or video features
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2576/00—Medical imaging apparatus involving image processing or analysis
    • A61B2576/02—Medical imaging apparatus involving image processing or analysis specially adapted for a particular organ or body part
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20004—Adaptive image processing
    • G06T2207/20008—Globally adaptive
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20076—Probabilistic image processing
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30088—Skin; Dermal
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30168—Image quality inspection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03—Recognition of patterns in medical or anatomical images

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Public Health (AREA)
  • Theoretical Computer Science (AREA)
  • Pathology (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Surgery (AREA)
  • Veterinary Medicine (AREA)
  • Biophysics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Multimedia (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Software Systems (AREA)
  • Physiology (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Databases & Information Systems (AREA)
  • Psychiatry (AREA)
  • Signal Processing (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Dermatology (AREA)
  • Quality & Reliability (AREA)
  • General Engineering & Computer Science (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Dentistry (AREA)
  • Fuzzy Systems (AREA)
  • Human Computer Interaction (AREA)
AU2020297355A 2019-06-18 2020-06-15 Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient Active AU2020297355B2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
AU2024227375A AU2024227375B2 (en) 2019-06-18 2024-10-16 Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient
AU2026201660A AU2026201660A1 (en) 2019-06-18 2026-03-04 Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201962862844P 2019-06-18 2019-06-18
US62/862,844 2019-06-18
PCT/US2020/037765 WO2020257108A1 (en) 2019-06-18 2020-06-15 Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient

Related Child Applications (1)

Application Number Title Priority Date Filing Date
AU2024227375A Division AU2024227375B2 (en) 2019-06-18 2024-10-16 Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient

Publications (2)

Publication Number Publication Date
AU2020297355A1 AU2020297355A1 (en) 2022-02-17
AU2020297355B2 true AU2020297355B2 (en) 2024-07-18

Family

ID=74040871

Family Applications (3)

Application Number Title Priority Date Filing Date
AU2020297355A Active AU2020297355B2 (en) 2019-06-18 2020-06-15 Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient
AU2024227375A Active AU2024227375B2 (en) 2019-06-18 2024-10-16 Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient
AU2026201660A Pending AU2026201660A1 (en) 2019-06-18 2026-03-04 Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient

Family Applications After (2)

Application Number Title Priority Date Filing Date
AU2024227375A Active AU2024227375B2 (en) 2019-06-18 2024-10-16 Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient
AU2026201660A Pending AU2026201660A1 (en) 2019-06-18 2026-03-04 Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient

Country Status (9)

Country Link
US (3) US12014828B2 (https=)
EP (2) EP3986251B1 (https=)
JP (2) JP7693563B2 (https=)
KR (2) KR102805332B1 (https=)
CN (2) CN114269231B (https=)
AU (3) AU2020297355B2 (https=)
CA (1) CA3143932A1 (https=)
IL (2) IL288988B2 (https=)
WO (1) WO2020257108A1 (https=)

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2020297355B2 (en) 2019-06-18 2024-07-18 Digital Diagnostics Inc. Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient
KR20210152179A (ko) * 2020-06-08 2021-12-15 주식회사 휴먼피부임상시험센터 시리얼 피부 유형 분석과 맞춤형 화장품 조제 장치
US11138734B1 (en) * 2021-02-19 2021-10-05 Vr Media Technology, Inc. Hyperspectral facial analysis system and method for personalized health scoring
US12322201B2 (en) * 2021-12-16 2025-06-03 The Gillette Company Llc Digital imaging systems and methods of analyzing pixel data of an image of a skin area of a user for determining skin hyperpigmentation
US12299874B2 (en) 2021-12-16 2025-05-13 The Gillette Company Llc Digital imaging systems and methods of analyzing pixel data of an image of a skin area of a user for determining skin dryness
US12243223B2 (en) 2021-12-16 2025-03-04 The Gillette Company Llc Digital imaging systems and methods of analyzing pixel data of an image of a skin area of a user for determining skin oiliness
US12230062B2 (en) 2021-12-16 2025-02-18 The Gillette Company Llc Digital imaging systems and methods of analyzing pixel data of an image of a skin area of a user for determining dark eye circles
US12249064B2 (en) 2021-12-16 2025-03-11 The Gillette Company Llc Digital imaging systems and methods of analyzing pixel data of an image of a skin area of a user for determining skin puffiness
US12524873B2 (en) 2021-12-16 2026-01-13 The Gillette Company Llc Digital imaging systems and methods of analyzing pixel data of an image of a skin area of a user for determining body contour
WO2023156314A1 (en) * 2022-02-15 2023-08-24 Trinamix Gmbh User-trained system
KR102606790B1 (ko) * 2023-03-07 2023-11-29 주식회사 바스젠바이오 의료용 이미지 데이터 퀄리티 스크리닝 시스템 및 그 방법
US20250238926A1 (en) * 2024-01-22 2025-07-24 Digital Diagnostics Inc. Artificial intelligence enabled sub-classifications of disease states

Family Cites Families (36)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2377098A1 (en) * 1999-07-26 2001-02-01 Cardiosense Ltd. An improved method and apparatus for the detection of medical conditions of shock and pre-shock
US8543519B2 (en) * 2000-08-07 2013-09-24 Health Discovery Corporation System and method for remote melanoma screening
US6690822B1 (en) 2000-10-20 2004-02-10 Eastman Kodak Company Method for detecting skin color in a digital image
ITMI20030541A1 (it) * 2003-03-20 2004-09-21 Ist Naz Stud Cura Dei Tumori Apparecchio per la caratterizzazione di lesioni pigmentale della cute
US20050049467A1 (en) 2003-08-28 2005-03-03 Georgios Stamatas Method for assessing pigmented skin
US8583216B2 (en) 2004-04-27 2013-11-12 University Of Utah Research Foundation Skin type assessment and nevi screening for skin cancer with a noninvasive, portable reflectance spectrophotometer
US20070016076A1 (en) 2005-07-18 2007-01-18 Kambiz Youabian Dermatone skin analyzer
WO2010093503A2 (en) 2007-01-05 2010-08-19 Myskin, Inc. Skin analysis methods
US8296247B2 (en) * 2007-03-23 2012-10-23 Three Palm Software Combination machine learning algorithms for computer-aided detection, review and diagnosis
CN101251898B (zh) * 2008-03-25 2010-09-15 腾讯科技（深圳）有限公司 一种肤色检测方法及装置
US8406482B1 (en) * 2008-08-28 2013-03-26 Adobe Systems Incorporated System and method for automatic skin tone detection in images
US8385638B2 (en) 2009-01-05 2013-02-26 Apple Inc. Detecting skin tone in images
JP2013511341A (ja) 2009-11-17 2013-04-04 ヴェラライト，インコーポレイテッド 冠動脈石灰化又は冠動脈疾患を検出する方法及び装置
US11074495B2 (en) 2013-02-28 2021-07-27 Z Advanced Computing, Inc. (Zac) System and method for extremely efficient image and pattern recognition and artificial intelligence platform
FR2984721B1 (fr) * 2011-12-26 2014-08-22 Chanel Parfums Beaute Procede et dispositif de detection et de quantification de signes cutanes sur une zone de peau
US8705853B2 (en) * 2012-04-20 2014-04-22 Apple Inc. Detecting skin tone
EP2733664A1 (en) * 2012-11-09 2014-05-21 Skin Analytics Ltd Skin image analysis
KR102237583B1 (ko) * 2013-03-12 2021-04-07 유니버시티 오브 워싱톤 스루 이츠 센터 포 커머셜리제이션 빌리루빈 레벨의 추정
EP2781191A1 (en) 2013-03-19 2014-09-24 Schnidar, Harald Methods for assessing erythema
US9220462B2 (en) * 2013-05-24 2015-12-29 Toshiba America Electronic Components, Inc. Imaging sensor and method for biometric mapping of facial skin
US10182757B2 (en) * 2013-07-22 2019-01-22 The Rockefeller University System and method for optical detection of skin disease
EP3251332B1 (en) * 2015-01-27 2021-07-07 Healthy.IO Ltd Measuring and monitoring skin feature colors, form and size
BR112018012512B1 (pt) * 2015-12-22 2022-10-25 Picterus As Método e aparelho para estimar um nível de bilirrubina em sangue e método para determinar uma taxa de mudança em nível de bilirrubina em sangue causando pele amarelada em um paciente
KR101812406B1 (ko) * 2016-03-16 2017-12-27 동국대학교 산학협력단 피부질환 진단 방법 및 피부질환 진단 시스템
US10223788B2 (en) * 2016-08-31 2019-03-05 International Business Machines Corporation Skin lesion segmentation using deep convolution networks guided by local unsupervised learning
JP6361776B2 (ja) 2016-09-02 2018-07-25 カシオ計算機株式会社 診断支援装置、及び診断支援装置における画像処理方法、並びにプログラム
US11379958B2 (en) * 2016-09-02 2022-07-05 Casio Computer Co., Ltd. Diagnosis assisting device, and image processing method in diagnosis assisting device
US11742089B2 (en) 2016-12-01 2023-08-29 Lg Household & Health Care Ltd. Customized cosmetics provision system and operating method thereof
US10354383B2 (en) * 2016-12-30 2019-07-16 Skinio, Llc Skin abnormality monitoring systems and methods
CN107563997B (zh) * 2017-08-24 2020-06-02 京东方科技集团股份有限公司 一种皮肤病诊断系统、构建方法、分类方法和诊断装置
CN107909566A (zh) * 2017-10-28 2018-04-13 杭州电子科技大学 一种基于深度学习的皮肤癌黑色素瘤的图像识别方法
CN108272437A (zh) * 2017-12-27 2018-07-13 中国科学院西安光学精密机械研究所 用于皮肤病诊断的光谱检测系统和分类器模型构建方法
CN108830853A (zh) * 2018-07-20 2018-11-16 东北大学 一种基于人工智能的黑色素瘤辅助诊断方法
CN109493342B (zh) * 2018-12-13 2021-02-09 杭州电子科技大学 一种基于深度学习的皮肤病图片病变类型分类方法
US11176669B2 (en) * 2019-04-14 2021-11-16 Holovisions LLC System for remote medical imaging using two conventional smart mobile devices and/or augmented reality (AR)
AU2020297355B2 (en) 2019-06-18 2024-07-18 Digital Diagnostics Inc. Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient

Also Published As

Publication number Publication date
AU2024227375A1 (en) 2024-10-31
AU2024227375B2 (en) 2025-12-04
JP2025071326A (ja) 2025-05-02
EP4625350A3 (en) 2025-12-31
AU2020297355A1 (en) 2022-02-17
EP3986251A1 (en) 2022-04-27
IL323186A (en) 2025-11-01
CN114269231A (zh) 2022-04-01
EP3986251A4 (en) 2023-07-26
US12322512B2 (en) 2025-06-03
EP4625350A2 (en) 2025-10-01
EP3986251B1 (en) 2025-09-03
CN114269231B (zh) 2024-09-10
EP3986251C0 (en) 2025-09-03
IL288988B1 (en) 2025-10-01
US20240296956A1 (en) 2024-09-05
US20220309668A1 (en) 2022-09-29
KR20220034790A (ko) 2022-03-18
JP2022536808A (ja) 2022-08-18
KR20250069694A (ko) 2025-05-19
JP7693563B2 (ja) 2025-06-17
WO2020257108A1 (en) 2020-12-24
US20250266168A1 (en) 2025-08-21
IL288988B2 (en) 2026-02-01
CN118844948A (zh) 2024-10-29
CA3143932A1 (en) 2020-12-24
AU2026201660A1 (en) 2026-03-26
KR102805332B1 (ko) 2025-05-13
US12014828B2 (en) 2024-06-18
IL288988A (en) 2022-02-01

Similar Documents

Publication Publication Date Title
AU2024227375B2 (en) Using a set of machine learning diagnostic models to determine a diagnosis based on a skin tone of a patient
JP2022536808A5 (https=)
CN107788948B (zh) 诊断支援装置、诊断支援装置的图像处理方法、以及存储程序的存储介质
JP7188514B2 (ja) 診断支援装置、及び診断支援装置における画像処理方法、並びにプログラム
JP7591076B2 (ja) 血圧測定装置、モデル設定装置、および血圧測定方法
JP7258354B2 (ja) 生体組織内の異常を検出するための方法及びシステム
CN110121749A (zh) 用于图像采集的深度学习医疗系统和方法
US9940545B2 (en) Method and apparatus for detecting anatomical elements
CN116630762A (zh) 一种基于深度学习的多模态医学图像融合方法
JP7303536B2 (ja) 心電図解析装置，方法およびプログラム
RU2814368C1 (ru) Способ диагностики состояния стоп человека
CN119313963B (zh) 基于多维分析的肿瘤识别评估方法、系统及设备
KR102553060B1 (ko) 인공지능 기반의 척추 정보를 이용한 의료영상정보 제공 방법, 장치 및 프로그램
JP2020187510A (ja) 顔画像解析装置及びそのプログラム
JP2024098259A (ja) 臓器評価システム及び臓器評価方法
JP2024052215A (ja) 高血圧症評価システム及び高血圧症評価方法
Meng An Improved Bone Age Assessment Using Advanced Image Processing and Deep Learning Approach
CN121359881A (zh) 基于多光谱成像的舌象纹理分析与痰湿体质识别方法、装置、可存储介质

Legal Events

Date Code Title Description
FGA Letters patent sealed or granted (standard patent)