BR112022013000A2 - Sistemas e métodos para processar imagens eletrônicas para detecção de doenças generalizadas - Google Patents
Sistemas e métodos para processar imagens eletrônicas para detecção de doenças generalizadasInfo
- Publication number
- BR112022013000A2 BR112022013000A2 BR112022013000A BR112022013000A BR112022013000A2 BR 112022013000 A2 BR112022013000 A2 BR 112022013000A2 BR 112022013000 A BR112022013000 A BR 112022013000A BR 112022013000 A BR112022013000 A BR 112022013000A BR 112022013000 A2 BR112022013000 A2 BR 112022013000A2
- Authority
- BR
- Brazil
- Prior art keywords
- images
- machine learning
- learning model
- specialized
- training images
- Prior art date
Links
- 238000000034 method Methods 0.000 title abstract 5
- 238000001514 detection method Methods 0.000 title abstract 2
- 201000010099 disease Diseases 0.000 title abstract 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 title abstract 2
- 238000010801 machine learning Methods 0.000 abstract 5
- 206010028980 Neoplasm Diseases 0.000 abstract 1
- 201000011510 cancer Diseases 0.000 abstract 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
- G06V20/698—Matching; Classification
-
- 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
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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
- G06T2207/30024—Cell structures in vitro; Tissue sections in vitro
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/10—Recognition assisted with metadata
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Medical Informatics (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Biomedical Technology (AREA)
- Databases & Information Systems (AREA)
- Public Health (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Computing Systems (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Data Mining & Analysis (AREA)
- Molecular Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Pathology (AREA)
- Quality & Reliability (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
SISTEMAS E MÉTODOS PARA PROCESSAR IMAGENS ELETRÔNICAS PARA DETECÇÃO DE DOENÇAS GENERALIZADAS. A presente invenção refere-se a sistemas e métodos que são descritos para gerar um modelo de aprendizado de máquina especializado através de receber um modelo de aprendizado de máquina generalizado gerado pelo processamento de uma pluralidade de primeiras imagens de treinamento para prever pelo menos uma característica de câncer, receber uma pluralidade de segundas imagens de treinamento, as primeiras imagens de treinamento e as segundas imagens de treinamento incluem imagens de amostras de tecido e / ou imagens geradas algoritmicamente para replicar amostras de tecido, receber uma pluralidade de atributos especializados alvo relacionados a uma respectiva segunda imagem de treinamento da pluralidade de segundas imagens de treinamento, gerar um modelo de aprendizado de máquina especializado modificando o modelo de aprendizado de máquina generalizado com base na pluralidade de segundas imagens de treinamento e nos atributos especializados alvo, receber uma imagem alvo correspondente a um amostra alvo, aplicar o modelo de aprendizado de máquina especializado à imagem alvo para determinar pelo menos uma característica da imagem alvo, e emitir a característica da imagem alvo.
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US202062956876P | 2020-01-03 | 2020-01-03 | |
US62/956,876 | 2020-01-03 | ||
PCT/US2020/066045 WO2021138087A1 (en) | 2020-01-03 | 2020-12-18 | Systems and methods for processing electronic images for generalized disease detection |
Publications (2)
Publication Number | Publication Date |
---|---|
BR112022013000A2 true BR112022013000A2 (pt) | 2022-09-06 |
BR112022013000B1 BR112022013000B1 (pt) | 2024-01-30 |
Family
ID=74554206
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
BR112022013000-7A BR112022013000B1 (pt) | 2020-01-03 | 2020-12-18 | Método implementado por computador para processar imagens de patologia digitais empregando amostras in vitro, sistema para processar imagens de patologia digitais e meio legível por computador não transitório |
Country Status (9)
Country | Link |
---|---|
US (4) | US11107573B2 (pt) |
EP (1) | EP4085377A1 (pt) |
JP (1) | JP7260119B2 (pt) |
KR (2) | KR20230118198A (pt) |
CN (1) | CN115210772B (pt) |
AU (1) | AU2020417728B2 (pt) |
BR (1) | BR112022013000B1 (pt) |
CA (1) | CA3162254A1 (pt) |
WO (1) | WO2021138087A1 (pt) |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11663838B2 (en) * | 2020-10-29 | 2023-05-30 | PAIGE.AI, Inc. | Systems and methods for processing images to determine image-based computational biomarkers from liquid specimens |
WO2023107989A1 (en) * | 2021-12-07 | 2023-06-15 | PAIGE.AI, Inc. | Systems and methods for processing electronic images to visualize combinations of semantic pathology features |
WO2023218240A1 (en) * | 2022-05-11 | 2023-11-16 | Agendia NV | Digital pathology system |
CN116580037B (zh) * | 2023-07-10 | 2023-10-13 | 天津医科大学第二医院 | 一种基于深度学习的鼻咽癌图像分割方法及系统 |
Family Cites Families (27)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11129577B2 (en) * | 2015-02-17 | 2021-09-28 | Telebyte, Inc. | Optical cancer detector using deep optical scanning and multi layer neural network |
FR3041292B1 (fr) * | 2015-09-21 | 2017-10-27 | Touti Terre | Siege ergonomique basculant entre deux configurations |
US10482313B2 (en) * | 2015-09-30 | 2019-11-19 | Siemens Healthcare Gmbh | Method and system for classification of endoscopic images using deep decision networks |
WO2017061548A1 (ja) * | 2015-10-06 | 2017-04-13 | 株式会社カネカ | ポリマー材料、フィルム、円偏光板、画像表示装置及びフィルムの製造方法 |
US10282588B2 (en) * | 2016-06-09 | 2019-05-07 | Siemens Healthcare Gmbh | Image-based tumor phenotyping with machine learning from synthetic data |
US10127659B2 (en) * | 2016-11-23 | 2018-11-13 | General Electric Company | Deep learning medical systems and methods for image acquisition |
EP3923237A1 (en) * | 2017-02-22 | 2021-12-15 | The United States of America as represented by The Secretary Department of Health and Human Services | Detection of prostate cancer in multi-parametric mri using random forest |
WO2018165103A1 (en) * | 2017-03-06 | 2018-09-13 | University Of Southern California | Machine learning for digital pathology |
CN107330954A (zh) * | 2017-07-14 | 2017-11-07 | 深圳市唯特视科技有限公司 | 一种基于衰减网络通过滑动属性操纵图像的方法 |
US11341631B2 (en) * | 2017-08-09 | 2022-05-24 | Shenzhen Keya Medical Technology Corporation | System and method for automatically detecting a physiological condition from a medical image of a patient |
US10650286B2 (en) * | 2017-09-07 | 2020-05-12 | International Business Machines Corporation | Classifying medical images using deep convolution neural network (CNN) architecture |
US20200210767A1 (en) * | 2017-09-08 | 2020-07-02 | The General Hospital Corporation | Method and systems for analyzing medical image data using machine learning |
GB2567155B (en) * | 2017-10-02 | 2022-03-02 | Room4 Group Ltd | Histopathological image analysis |
US11636288B2 (en) * | 2017-11-06 | 2023-04-25 | University Health Network | Platform, device and process for annotation and classification of tissue specimens using convolutional neural network |
US10748040B2 (en) * | 2017-11-20 | 2020-08-18 | Kavya Venkata Kota Sai KOPPARAPU | System and method for automatic assessment of cancer |
WO2019104217A1 (en) * | 2017-11-22 | 2019-05-31 | The Trustees Of Columbia University In The City Of New York | System method and computer-accessible medium for classifying breast tissue using a convolutional neural network |
CN107995428B (zh) * | 2017-12-21 | 2020-02-07 | Oppo广东移动通信有限公司 | 图像处理方法、装置及存储介质和移动终端 |
US20210042916A1 (en) * | 2018-02-07 | 2021-02-11 | Ai Technologies Inc. | Deep learning-based diagnosis and referral of diseases and disorders |
US20190277854A1 (en) * | 2018-03-06 | 2019-09-12 | Jessika Baral | System and method for cancer detection |
US11741365B2 (en) * | 2018-05-14 | 2023-08-29 | Tempus Labs, Inc. | Generalizable and interpretable deep learning framework for predicting MSI from histopathology slide images |
EP3570288A1 (en) * | 2018-05-16 | 2019-11-20 | Siemens Healthcare GmbH | Method for obtaining at least one feature of interest |
CN109308495B (zh) * | 2018-07-05 | 2021-07-02 | 科亚医疗科技股份有限公司 | 从患者的医学图像自动预测生理状况的装置和系统 |
US11508168B2 (en) * | 2018-10-15 | 2022-11-22 | Upmc | Systems and methods for specimen interpretation |
KR102057649B1 (ko) * | 2018-12-13 | 2019-12-19 | 주식회사 알고리고 | 상위계층 인공신경망을 이용한 전기차 충전소 점유 예측 장치 및 방법 |
US11631171B2 (en) * | 2019-01-10 | 2023-04-18 | Regents Of The University Of Minnesota | Automated detection and annotation of prostate cancer on histopathology slides |
US10936160B2 (en) * | 2019-01-11 | 2021-03-02 | Google Llc | System, user interface and method for interactive negative explanation of machine-learning localization models in health care applications |
CN110599451B (zh) * | 2019-08-05 | 2023-01-20 | 平安科技(深圳)有限公司 | 医学图像病灶检测定位方法、装置、设备及存储介质 |
-
2020
- 2020-12-18 JP JP2022540708A patent/JP7260119B2/ja active Active
- 2020-12-18 KR KR1020237026019A patent/KR20230118198A/ko active Application Filing
- 2020-12-18 KR KR1020227026407A patent/KR102562708B1/ko active IP Right Grant
- 2020-12-18 AU AU2020417728A patent/AU2020417728B2/en active Active
- 2020-12-18 EP EP20851263.2A patent/EP4085377A1/en active Pending
- 2020-12-18 US US17/126,865 patent/US11107573B2/en active Active
- 2020-12-18 CN CN202080097975.4A patent/CN115210772B/zh active Active
- 2020-12-18 CA CA3162254A patent/CA3162254A1/en active Pending
- 2020-12-18 WO PCT/US2020/066045 patent/WO2021138087A1/en unknown
- 2020-12-18 BR BR112022013000-7A patent/BR112022013000B1/pt active IP Right Grant
-
2021
- 2021-07-20 US US17/380,595 patent/US11322246B2/en active Active
-
2022
- 2022-03-31 US US17/710,613 patent/US11823436B2/en active Active
-
2023
- 2023-10-17 US US18/488,364 patent/US20240046615A1/en active Pending
Also Published As
Publication number | Publication date |
---|---|
AU2020417728A1 (en) | 2022-08-18 |
JP2022553446A (ja) | 2022-12-22 |
EP4085377A1 (en) | 2022-11-09 |
JP7260119B2 (ja) | 2023-04-18 |
KR20230118198A (ko) | 2023-08-10 |
WO2021138087A1 (en) | 2021-07-08 |
CN115210772A (zh) | 2022-10-18 |
US20210210195A1 (en) | 2021-07-08 |
CN115210772B (zh) | 2023-07-18 |
US20240046615A1 (en) | 2024-02-08 |
US20210350907A1 (en) | 2021-11-11 |
BR112022013000B1 (pt) | 2024-01-30 |
US11322246B2 (en) | 2022-05-03 |
KR20220113547A (ko) | 2022-08-12 |
CA3162254A1 (en) | 2021-07-08 |
US11823436B2 (en) | 2023-11-21 |
US20220230734A1 (en) | 2022-07-21 |
KR102562708B1 (ko) | 2023-08-03 |
US11107573B2 (en) | 2021-08-31 |
AU2020417728B2 (en) | 2023-03-16 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
BR112022013000A2 (pt) | Sistemas e métodos para processar imagens eletrônicas para detecção de doenças generalizadas | |
Bapna et al. | Training deeper neural machine translation models with transparent attention | |
Dejung et al. | Quantitative proteomics uncovers novel factors involved in developmental differentiation of Trypanosoma brucei | |
BR112022004040A2 (pt) | Sistema para gerar dados animais simulados e modelos | |
Nuriman et al. | The influence of Islamic moral values on the students’ behavior in Aceh | |
BR112019024537A2 (pt) | método implementado por computador, sistema de computador e classificador baseado em aprendizado de máquina | |
BR112022013004A2 (pt) | Sistemas e métodos para analisar imagens eletrônicas para controle de qualidade | |
JP2018206261A (ja) | 単語分割推定モデル学習装置、単語分割装置、方法、及びプログラム | |
WO2021141742A8 (en) | Systems and methods for processing electronic images for computational assessment of disease | |
BR112023017346A2 (pt) | Geração e execução de fluxos de trabalho de processamento para corrigir problemas de qualidade de dados em conjuntos de dados | |
BR112021020760A2 (pt) | Método de predição de produtividade de soja | |
WO2019012330A3 (en) | COMPUTER-IMPLEMENTED METHODS AND CONFIGURED COMPUTER SYSTEMS TO GENERATE SYNTHETIC REPRESENTATIONS WITH PHOTOREALIST IMITATION OF SUBJECTS | |
Bruner et al. | Self-correction in science: Meta-analysis, bias and social structure | |
BR112023027283A2 (pt) | Sistemas e métodos para fornecer escalas de tempo otimizadas e marcadores de tempo de apresentação precisos | |
De Santis et al. | Assessing the quality of systematic reviews in healthcare using AMSTAR and AMSTAR2: A comparison of scores on both scales. | |
BR112022009366A2 (pt) | Método para o processamento de previsão de irradiação, método para o treinamento de modelo de empilhamento generalizado, e aparelhos deles | |
Massey et al. | The relationship between formative and summative examination and PANCE results: a multi-program study | |
PH12019502513A1 (en) | Method for determining whether examinee is infected by microorganism and apparatus using the same | |
BR112015018557A2 (pt) | processo realizado por computador para combinar uma tinta com as propriedades da aparência visual de uma superfície de um substrato pintado, uso do processo, e sistema de computador | |
BR112022011316A2 (pt) | Métodos para geração de relatório cirúrgico operacional aperfeiçoado que utilizam aprendizado por máquina e dispositivos associados | |
BR112022019266A2 (pt) | Método para detectar analitos de abundância variável | |
Sanabria et al. | Distinguishing word identity and sequence context in DNA language models | |
BR112019007138A2 (pt) | método e sistema de análise para testagem de uma amostra | |
BR112022000176A2 (pt) | Método e aparelho para realizar remoção de desfocalização usando aprendizagem profunda | |
WO2020123029A3 (en) | Method for improving the accuracy of a convolution neural network training image dataset for loss prevention applications |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
B07A | Application suspended after technical examination (opinion) [chapter 7.1 patent gazette] | ||
B07B | Technical examination (opinion): publication cancelled [chapter 7.2 patent gazette] | ||
B07A | Application suspended after technical examination (opinion) [chapter 7.1 patent gazette] | ||
B09A | Decision: intention to grant [chapter 9.1 patent gazette] | ||
B16A | Patent or certificate of addition of invention granted [chapter 16.1 patent gazette] |
Free format text: PRAZO DE VALIDADE: 20 (VINTE) ANOS CONTADOS A PARTIR DE 18/12/2020, OBSERVADAS AS CONDICOES LEGAIS |