BR112022011111A2 - Método para determinar a gravidade da doença da pele com base na porcentagem de área de superfície corporal coberta por lesões - Google Patents

Método para determinar a gravidade da doença da pele com base na porcentagem de área de superfície corporal coberta por lesões

Info

Publication number
BR112022011111A2
BR112022011111A2 BR112022011111A BR112022011111A BR112022011111A2 BR 112022011111 A2 BR112022011111 A2 BR 112022011111A2 BR 112022011111 A BR112022011111 A BR 112022011111A BR 112022011111 A BR112022011111 A BR 112022011111A BR 112022011111 A2 BR112022011111 A2 BR 112022011111A2
Authority
BR
Brazil
Prior art keywords
surface area
body surface
training set
injuries
severity
Prior art date
Application number
BR112022011111A
Other languages
English (en)
Portuguese (pt)
Inventor
Chen Yanqing
tang Charles
J Munoz-Elias Ernesto
Original Assignee
Janssen Biotech 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 Janssen Biotech Inc filed Critical Janssen Biotech Inc
Publication of BR112022011111A2 publication Critical patent/BR112022011111A2/pt

Links

Classifications

    • 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
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • 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
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformations in the plane of the image
    • G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
    • 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
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30096—Tumor; Lesion

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Quality & Reliability (AREA)
  • Artificial Intelligence (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Image Analysis (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
BR112022011111A 2019-12-09 2020-12-08 Método para determinar a gravidade da doença da pele com base na porcentagem de área de superfície corporal coberta por lesões BR112022011111A2 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201962945642P 2019-12-09 2019-12-09
PCT/IB2020/061648 WO2021116909A1 (en) 2019-12-09 2020-12-08 Method for determining severity of skin disease based on percentage of body surface area covered by lesions

Publications (1)

Publication Number Publication Date
BR112022011111A2 true BR112022011111A2 (pt) 2022-08-23

Family

ID=76209792

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112022011111A BR112022011111A2 (pt) 2019-12-09 2020-12-08 Método para determinar a gravidade da doença da pele com base na porcentagem de área de superfície corporal coberta por lesões

Country Status (10)

Country Link
US (2) US11538167B2 (https=)
EP (1) EP4073752A4 (https=)
JP (1) JP7695243B2 (https=)
KR (1) KR20220108158A (https=)
CN (1) CN114830173A (https=)
AU (1) AU2020401794A1 (https=)
BR (1) BR112022011111A2 (https=)
CA (1) CA3164066A1 (https=)
IL (1) IL293654A (https=)
WO (1) WO2021116909A1 (https=)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11538167B2 (en) * 2019-12-09 2022-12-27 Janssen Biotech, Inc. Method for determining severity of skin disease based on percentage of body surface area covered by lesions
US11659998B2 (en) 2020-03-05 2023-05-30 International Business Machines Corporation Automatic measurement using structured lights
US11484245B2 (en) * 2020-03-05 2022-11-01 International Business Machines Corporation Automatic association between physical and visual skin properties
CN119206306A (zh) * 2022-03-02 2024-12-27 深圳硅基智能科技有限公司 识别医学图像中的目标的方法及电子设备
CN114882018B (zh) * 2022-06-30 2022-10-25 杭州咏柳科技有限公司 一种基于图像的银屑病严重程度的评估系统
CN115830377B (zh) * 2022-11-28 2026-01-06 青岛大学 基于有限数据的深度学习用于皮肤癌图像分类的方法
US12119118B2 (en) * 2022-12-09 2024-10-15 BelleTorus Corporation Compute system with hidradenitis suppurativa severity diagnostic mechanism and method of operation thereof
WO2025078613A1 (fr) * 2023-10-11 2025-04-17 Term Helvet Sa Procédé de traitement de données relatives à des images

Family Cites Families (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7454046B2 (en) * 2005-09-20 2008-11-18 Brightex Bio-Photonics, Llc Method and system for analyzing skin conditions using digital images
US8005294B2 (en) 2006-11-29 2011-08-23 The Mitre Corporation Cursive character handwriting recognition system and method
MY145600A (en) * 2010-03-29 2012-03-01 Inst Of Technology Petronas Sdn Bhd A methodology and apparatus for objective assessment and rating of psoriasis lesion thickness using digital imaging
MY150801A (en) 2010-11-08 2014-02-28 Inst Of Technology Petronas Sdn Bhd A methodology and apparatus for objective, non-invasive and in vivo assessment and rating of psoriasis lesion scaliness using digital imaging
US8705860B2 (en) * 2011-03-14 2014-04-22 Microsoft Corporation Grouping variables for fast image labeling
US8879855B2 (en) * 2012-08-17 2014-11-04 Nec Laboratories America, Inc. Image segmentation for large-scale fine-grained recognition
US9307926B2 (en) * 2012-10-05 2016-04-12 Volcano Corporation Automatic stent detection
WO2014109708A1 (en) * 2013-01-08 2014-07-17 Agency For Science, Technology And Research A method and system for assessing fibrosis in a tissue
US20140316235A1 (en) 2013-04-18 2014-10-23 Digimarc Corporation Skin imaging and applications
CN104346801B (zh) * 2013-08-02 2018-07-20 佳能株式会社 图像构图评估装置、信息处理装置及其方法
US10032287B2 (en) 2013-10-30 2018-07-24 Worcester Polytechnic Institute System and method for assessing wound
US9286537B2 (en) * 2014-01-22 2016-03-15 Cognizant Technology Solutions India Pvt. Ltd. System and method for classifying a skin infection
SG10201405182WA (en) * 2014-08-25 2016-03-30 Univ Singapore Technology & Design Method and system
EP3367887A4 (en) 2015-10-28 2019-05-22 Spectral MD Inc. METHOD AND DEVICES FOR THE MULTISPEKTRAL, TIME RESOLVED OPTICAL IMAGING FOR TISSUE CLASSIFICATION
US9830710B2 (en) 2015-12-16 2017-11-28 General Electric Company Systems and methods for hair segmentation
US9886758B2 (en) * 2016-03-31 2018-02-06 International Business Machines Corporation Annotation of skin image using learned feature representation
WO2018107371A1 (zh) * 2016-12-13 2018-06-21 上海联影医疗科技有限公司 图像搜索系统及方法
US10366490B2 (en) 2017-03-27 2019-07-30 Siemens Healthcare Gmbh Highly integrated annotation and segmentation system for medical imaging
CN108230294B (zh) * 2017-06-14 2020-09-29 北京市商汤科技开发有限公司 图像检测方法、装置、电子设备和存储介质
US20190108912A1 (en) * 2017-10-05 2019-04-11 Iquity, Inc. Methods for predicting or detecting disease
US11010902B2 (en) * 2018-06-04 2021-05-18 University Of Central Florida Research Foundation, Inc. Capsules for image analysis
CN109363640A (zh) * 2018-12-04 2019-02-22 北京贝叶科技有限公司 基于皮肤病理图像的识别方法及系统
WO2020146489A1 (en) * 2019-01-08 2020-07-16 The Rockefeller University Hyperspectral imaging in automated digital dermoscopy screening for melanoma
EP3963541A1 (en) * 2019-04-29 2022-03-09 UCB Biopharma SRL Medical image analysis system and method for identification of lesions
US11341635B2 (en) * 2019-10-31 2022-05-24 Tencent America LLC Computer aided diagnosis system for detecting tissue lesion on microscopy images based on multi-resolution feature fusion
US11538167B2 (en) * 2019-12-09 2022-12-27 Janssen Biotech, Inc. Method for determining severity of skin disease based on percentage of body surface area covered by lesions

Also Published As

Publication number Publication date
US11915428B2 (en) 2024-02-27
EP4073752A1 (en) 2022-10-19
US20230060162A1 (en) 2023-03-02
JP2023504901A (ja) 2023-02-07
CN114830173A (zh) 2022-07-29
US11538167B2 (en) 2022-12-27
EP4073752A4 (en) 2024-01-03
JP7695243B2 (ja) 2025-06-18
KR20220108158A (ko) 2022-08-02
CA3164066A1 (en) 2021-06-17
WO2021116909A1 (en) 2021-06-17
AU2020401794A1 (en) 2022-07-28
US20210174512A1 (en) 2021-06-10
IL293654A (en) 2022-08-01

Similar Documents

Publication Publication Date Title
BR112022011111A2 (pt) Método para determinar a gravidade da doença da pele com base na porcentagem de área de superfície corporal coberta por lesões
BR112018072122A2 (pt) sistema para detecção de doenças de plantas, método implementado por computador para detectar doenças de plantas e produto de programa de computador para detecção de doença de plantas
McLaughlin et al. Inexperienced examiners and the foot posture index: a reliability study
US10786702B2 (en) Exercise mat apparatus and method
EP3419200C0 (en) METHOD, APPARATUS, COMPUTER PROGRAM AND SYSTEM FOR DETERMINING INFORMATION RELATING TO THE AUDIENCE OF AN AUDIOVISUAL CONTENT PROGRAM
BR112014007403A8 (pt) Dispositivo de medição para implementar um método de medição de parâmetros morfogeométricos de uma pessoa que usa óculos
JP2016184424A5 (https=)
BR112017018416A8 (pt) Método implementado por meios de computador para determinação de uma lente oftálmica tendo astigmatismo indesejado, método para determinação do plano focal de imagem, conjunto de lentes oftálmicas e sistema para determinação de uma lente oftálmica tendo astigmatismo indesejado
Vermette et al. The impact of graded levels of day length on turkey health and behavior to 18 weeks of age
WO2019027910A3 (en) MULTI-BIOMARKER DISEASE ACTIVITY SCORE ADJUSTED TO ASSESS INFLAMMATORY DISEASE
KR102013705B1 (ko) 승마시뮬레이터에서 사용자 자세 인식 장치 및 방법
Barrera-Domínguez et al. The influence of functional movement and strength upon linear and change of direction speed in male and female basketball players
JP2020018794A5 (https=)
JP2019208851A5 (https=)
Iglesias et al. Proprioceptive diagnostics in attention deficit hyperactivity disorder
Kolumbet Ways of technical training perfection in rowing on kayaks
Kaçoğlu et al. Assessing The Kinesiophobia And Depression Status At Return To Sport Following Sport Related Injuries In Contact And Non-contact Sports
Baumgart et al. Long-term adaptations to unexpected surface perturbations: Postural control during stance and gait in train conductors
Garcıa et al. Stance detection at ibereval 2017: A biased representation for a biased problem
Wilson et al. Pre-speech Postures of Second-Language versus First-Language Speakers (< Feature Articles> Articulatory Phonetics: Focus on Japanese)
Tomac et al. Impact of judo on the kinantropological characteristics of early school-age pupils
Zaragoza Cortés et al. Statistical study of the oral production of Catalan-Spanish bilingual people with aphasia
Iqbal Influence of kinematic and anthropometric factors on drag–flick performance in field hockey
AR125574A1 (es) Aparato de análisis de imágenes, sistema de análisis de imágenes, método de análisis de imágenes y programa
TWI784243B (zh) 跆拳道品勢動作偵測與比對方法