MX2020013412A - Sistemas y metodos para entrenar redes generativas antagonicas y uso de redes generativas antagonicas entrenadas. - Google Patents

Sistemas y metodos para entrenar redes generativas antagonicas y uso de redes generativas antagonicas entrenadas.

Info

Publication number
MX2020013412A
MX2020013412A MX2020013412A MX2020013412A MX2020013412A MX 2020013412 A MX2020013412 A MX 2020013412A MX 2020013412 A MX2020013412 A MX 2020013412A MX 2020013412 A MX2020013412 A MX 2020013412A MX 2020013412 A MX2020013412 A MX 2020013412A
Authority
MX
Mexico
Prior art keywords
generative adversarial
adversarial networks
training
interest
feature
Prior art date
Application number
MX2020013412A
Other languages
English (en)
Inventor
Dinh Nhan Ngo
Giulio Evangelisti
Flavio Navari
Original Assignee
Cosmo Artificial Intelligence Ai Ltd
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 Cosmo Artificial Intelligence Ai Ltd filed Critical Cosmo Artificial Intelligence Ai Ltd
Publication of MX2020013412A publication Critical patent/MX2020013412A/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
    • A61B1/00002—Operational features of endoscopes
    • A61B1/00004—Operational features of endoscopes characterised by electronic signal processing
    • A61B1/00009—Operational features of endoscopes characterised by electronic signal processing of image signals during a use of endoscope
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
    • A61B1/00002—Operational features of endoscopes
    • A61B1/00004—Operational features of endoscopes characterised by electronic signal processing
    • A61B1/00009—Operational features of endoscopes characterised by electronic signal processing of image signals during a use of endoscope
    • A61B1/000096—Operational features of endoscopes characterised by electronic signal processing of image signals during a use of endoscope using artificial intelligence
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
    • A61B1/00002—Operational features of endoscopes
    • A61B1/00043—Operational features of endoscopes provided with output arrangements
    • A61B1/00055—Operational features of endoscopes provided with output arrangements for alerting the user
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
    • A61B1/273—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor for the upper alimentary canal, e.g. oesophagoscopes, gastroscopes
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
    • A61B1/273—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor for the upper alimentary canal, e.g. oesophagoscopes, gastroscopes
    • A61B1/2736—Gastroscopes
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
    • A61B1/31—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor for the rectum, e.g. proctoscopes, sigmoidoscopes, colonoscopes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/40—Software arrangements specially adapted for pattern recognition, e.g. user interfaces or toolboxes therefor
    • G06F18/41—Interactive pattern learning with a human teacher
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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
    • G06N3/088—Non-supervised learning, e.g. competitive 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
    • 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10068—Endoscopic image
    • 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • 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
    • G06T2207/30028—Colon; Small intestine
    • G06T2207/30032—Colon polyp
    • 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
    • G06V2201/03—Recognition of patterns in medical or anatomical images
    • G06V2201/031—Recognition of patterns in medical or anatomical images of internal organs
    • 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
    • G06V2201/03—Recognition of patterns in medical or anatomical images
    • G06V2201/032—Recognition of patterns in medical or anatomical images of protuberances, polyps nodules, etc.

Landscapes

  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Surgery (AREA)
  • Biomedical Technology (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Public Health (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Pathology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Optics & Photonics (AREA)
  • Mathematical Physics (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • Gastroenterology & Hepatology (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Quality & Reliability (AREA)
  • Signal Processing (AREA)
  • Databases & Information Systems (AREA)
  • Human Computer Interaction (AREA)
  • Image Analysis (AREA)

Abstract

La presente divulgación se refiere a métodos y sistemas implementados por computadora para entrenar y usar redes generativas antagónicas; en una implementación, un sistema para entrenar una red generativa antagónica puede incluir al menos un procesador que puede proporcionar una primera pluralidad de imágenes que incluyen representaciones de una característica de interés e indicadores de ubicaciones de la característica de interés y usar la primera pluralidad y los indicadores para entrenar una red de detección de objetos; además, los procesadores pueden proporcionar una segunda pluralidad de imágenes que incluyen representaciones de la característica de interés y aplicar la red de detección de objetos entrenada a la segunda pluralidad para producir una pluralidad de detecciones de la característica de interés; adicionalmente, los procesadores pueden proporcionar verificaciones establecidas manualmente de verdaderos positivos y falsos positivos con respecto a la pluralidad de detecciones, usar las verificaciones para entrenar una red generativa antagónica y volver a entrenar la red generativa antagónica mediante el uso de al menos un conjunto adicional de imágenes, detecciones adicionales y verificaciones establecidas manualmente adicionales.
MX2020013412A 2018-06-13 2019-06-11 Sistemas y metodos para entrenar redes generativas antagonicas y uso de redes generativas antagonicas entrenadas. MX2020013412A (es)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US16/008,006 US10810460B2 (en) 2018-06-13 2018-06-13 Systems and methods for training generative adversarial networks and use of trained generative adversarial networks
EP18180570.6A EP3582143A1 (en) 2018-06-13 2018-06-28 Systems and methods for training generative adversarial networks and use of trained generative adversarial networks
PCT/EP2019/065256 WO2019238712A1 (en) 2018-06-13 2019-06-11 Systems and methods for training generative adversarial networks and use of trained generative adversarial networks

Publications (1)

Publication Number Publication Date
MX2020013412A true MX2020013412A (es) 2021-04-13

Family

ID=62816460

Family Applications (2)

Application Number Title Priority Date Filing Date
MX2020013412A MX2020013412A (es) 2018-06-13 2019-06-11 Sistemas y metodos para entrenar redes generativas antagonicas y uso de redes generativas antagonicas entrenadas.
MX2024004583A MX2024004583A (es) 2018-06-13 2020-12-09 Sistemas y metodos para entrenar redes generativas antagonicas y uso de redes generativas antagonicas entrenadas.

Family Applications After (1)

Application Number Title Priority Date Filing Date
MX2024004583A MX2024004583A (es) 2018-06-13 2020-12-09 Sistemas y metodos para entrenar redes generativas antagonicas y uso de redes generativas antagonicas entrenadas.

Country Status (15)

Country Link
US (4) US10810460B2 (es)
EP (2) EP3582143A1 (es)
JP (2) JP7455821B2 (es)
KR (1) KR20210032951A (es)
CN (1) CN112543941A (es)
AR (2) AR115522A1 (es)
AU (2) AU2019286544A1 (es)
BR (1) BR112020025390A8 (es)
CA (1) CA3103316A1 (es)
IL (1) IL279416A (es)
MX (2) MX2020013412A (es)
SG (1) SG11202012374WA (es)
TW (1) TWI793337B (es)
WO (1) WO2019238712A1 (es)
ZA (1) ZA202007745B (es)

Families Citing this family (47)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018198327A1 (ja) * 2017-04-28 2018-11-01 オリンパス株式会社 内視鏡診断支援システム、内視鏡診断支援プログラム及び内視鏡診断支援方法
US10810460B2 (en) 2018-06-13 2020-10-20 Cosmo Artificial Intelligence—AI Limited Systems and methods for training generative adversarial networks and use of trained generative adversarial networks
US11100633B2 (en) 2018-06-13 2021-08-24 Cosmo Artificial Intelligence—Al Limited Systems and methods for processing real-time video from a medical image device and detecting objects in the video
US10929708B2 (en) 2018-12-10 2021-02-23 International Business Machines Corporation Deep learning network for salient region identification in images
EP3671660A1 (en) * 2018-12-20 2020-06-24 Dassault Systèmes Designing a 3d modeled object via user-interaction
CA3076646A1 (en) * 2019-03-22 2020-09-22 Royal Bank Of Canada System and method for generation of unseen composite data objects
US11017506B2 (en) * 2019-05-03 2021-05-25 Amazon Technologies, Inc. Video enhancement using a generator with filters of generative adversarial network
US11216917B2 (en) 2019-05-03 2022-01-04 Amazon Technologies, Inc. Video enhancement using a neural network
US11210769B2 (en) 2019-05-03 2021-12-28 Amazon Technologies, Inc. Video enhancement using a recurrent image date of a neural network
US11037025B2 (en) * 2019-05-30 2021-06-15 Baidu Usa Llc Systems and methods for adversarially robust object detection
US10671934B1 (en) * 2019-07-16 2020-06-02 DOCBOT, Inc. Real-time deployment of machine learning systems
US11080889B2 (en) * 2019-09-24 2021-08-03 Shanghai United Imaging Intelligence Co., Ltd. Methods and systems for providing guidance for adjusting an object based on similarity
US11922656B2 (en) * 2019-11-25 2024-03-05 Accuray Incorporated Partial deformation maps for reconstructing motion-affected treatment dose using machine learning
US11551652B1 (en) 2019-11-27 2023-01-10 Amazon Technologies, Inc. Hands-on artificial intelligence education service
CN111000633B (zh) * 2019-12-20 2020-11-03 山东大学齐鲁医院 一种内镜诊疗操作过程的监控方法及系统
CN113128316B (zh) * 2020-01-15 2024-08-02 北京四维图新科技股份有限公司 目标检测方法及装置
US11620745B2 (en) * 2020-01-17 2023-04-04 Ping An Technology (Shenzhen) Co., Ltd. Method and system for harvesting lesion annotations
US20230050833A1 (en) * 2020-02-03 2023-02-16 Cosmo Artificial Intelligence - AI Limited Systems and methods for contextual image analysis
CN113313133A (zh) * 2020-02-25 2021-08-27 武汉Tcl集团工业研究院有限公司 一种生成对抗网络的训练方法、动画图像生成方法
US11200462B2 (en) * 2020-03-04 2021-12-14 Matroid, Inc. Detecting content in a real-time video stream recorded by a detection unit
US20210279841A1 (en) * 2020-03-09 2021-09-09 Nvidia Corporation Techniques to use a neural network to expand an image
KR102476334B1 (ko) * 2020-04-22 2022-12-09 인하대학교 산학협력단 딥러닝 기반 일기 생성 방법 및 장치
US11113525B1 (en) 2020-05-18 2021-09-07 X Development Llc Using empirical evidence to generate synthetic training data for plant detection
CN113743398B (zh) * 2020-05-29 2023-11-17 富泰华工业（深圳）有限公司 图像标识方法、装置、计算机装置及存储介质
US11640711B2 (en) * 2020-06-05 2023-05-02 Advanced Micro Devices, Inc. Automated artifact detection
US11398028B2 (en) * 2020-06-08 2022-07-26 X Development Llc Generating and using synthetic training data for plant disease detection
EP4120186A1 (en) * 2021-07-12 2023-01-18 Cosmo Artificial Intelligence - AI Limited Computer-implemented systems and methods for object detection and characterization
CN111881956B (zh) * 2020-07-15 2023-05-12 北京市商汤科技开发有限公司 网络训练方法及装置、目标检测方法及装置和电子设备
US11961225B2 (en) 2020-07-21 2024-04-16 Iterative Scopes, Inc. Systems and methods for detecting potential malignancies
US11604947B2 (en) * 2020-08-26 2023-03-14 X Development Llc Generating quasi-realistic synthetic training data for use with machine learning models
US11670072B2 (en) 2020-10-02 2023-06-06 Servicenow Canada Inc. Systems and computer-implemented methods for identifying anomalies in an object and training methods therefor
US11100373B1 (en) 2020-11-02 2021-08-24 DOCBOT, Inc. Autonomous and continuously self-improving learning system
CN112308038B (zh) * 2020-11-25 2022-09-27 哈尔滨工业大学 基于课堂式生成对抗网络模型的机械设备故障信号识别方法
US11763135B2 (en) * 2021-03-01 2023-09-19 Robert Bosch Gmbh Concept-based adversarial generation method with steerable and diverse semantics
US20220319158A1 (en) * 2021-04-05 2022-10-06 Nec Laboratories America, Inc. Cell nuclei classification with artifact area avoidance
KR102513394B1 (ko) * 2021-05-10 2023-03-23 주식회사 씨앤에이아이 Gan을 이용한 합성 내시경 이미지 생성 장치 및 방법
EP4341889A1 (en) 2021-05-17 2024-03-27 Stryker Corporation Medical imaging
CN113329000B (zh) * 2021-05-17 2023-01-10 山东大学 一种基于智能家居环境下的隐私保护和安全监测一体化系统
WO2022245191A1 (en) * 2021-05-21 2022-11-24 Endoai Co., Ltd. Method and apparatus for learning image for detecting lesions
KR20220157833A (ko) 2021-05-21 2022-11-29 (주)엔도아이 병변 검출을 위한 영상 학습 장치 및 방법
TWI795787B (zh) * 2021-05-24 2023-03-11 鴻海精密工業股份有限公司 自編碼器的訓練方法、細胞數量檢測方法及相關設備
US12001512B2 (en) 2021-05-25 2024-06-04 Mineral Earth Sciences Llc Generating labeled synthetic training data
KR20220161672A (ko) * 2021-05-31 2022-12-07 자이메드 주식회사 설명 가능한 생체 이미지 판독 지원 장치 및 방법
EP4109463A1 (en) * 2021-06-24 2022-12-28 Siemens Healthcare GmbH Providing a second result dataset
CN113283849B (zh) * 2021-07-26 2021-11-02 山东建筑大学 基于视频上下文联系的物流异常智能检测方法
CN113658174B (zh) * 2021-09-02 2023-09-19 北京航空航天大学 基于深度学习和图像处理算法的微核组学图像检测方法
KR102477632B1 (ko) * 2021-11-12 2022-12-13 프로메디우스 주식회사 적대적 생성 신경망을 이용한 영상 학습 장치 및 방법

Family Cites Families (37)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7680307B2 (en) 2005-04-05 2010-03-16 Scimed Life Systems, Inc. Systems and methods for image segmentation with a multi-stage classifier
EP2054852B1 (en) 2006-08-21 2010-06-23 STI Medical Systems, LLC Computer aided analysis using video from endoscopes
EP2068281A1 (en) * 2007-11-28 2009-06-10 Dublin City University A method for detecting flat polyps in the colon
US10013638B2 (en) 2008-08-14 2018-07-03 Ping Zhang Cancer diagnostic method and system
CN102498445A (zh) * 2009-09-17 2012-06-13 西门子公司 用于机器状态监测的、使用规则生成的样本的监督故障学习
WO2011156001A1 (en) 2010-06-07 2011-12-15 Sti Medical Systems, Llc Versatile video interpretation,visualization, and management system
US20150374210A1 (en) * 2013-03-13 2015-12-31 Massachusetts Institute Of Technology Photometric stereo endoscopy
US9700219B2 (en) * 2013-10-17 2017-07-11 Siemens Healthcare Gmbh Method and system for machine learning based assessment of fractional flow reserve
KR20150049585A (ko) 2013-10-30 2015-05-08 삼성전자주식회사 용종 검출 장치 및 그 동작방법
ES2880316T3 (es) 2014-08-29 2021-11-24 Google Llc Procesamiento de imágenes mediante redes neuronales profundas
US9700213B2 (en) 2014-09-12 2017-07-11 Mayo Foundation For Medical Education And Research System and method for automatic polyp detection using global geometric constraints and local intensity variation patterns
JP6726734B2 (ja) * 2015-03-26 2020-07-22 アイコー，エルエルシー 画像解析のためのシステム
WO2016161115A1 (en) 2015-03-31 2016-10-06 Mayo Foundation For Medical Education And Research System and methods for automatic polyp detection using convolutional neural networks
EP3405908B1 (en) 2015-09-10 2021-12-15 Magentiq Eye Ltd. A system and method for detection of suspicious tissue regions in an endoscopic procedure
US9959468B2 (en) 2015-11-06 2018-05-01 The Boeing Company Systems and methods for object tracking and classification
US10007867B2 (en) 2016-04-04 2018-06-26 Google Llc Systems and methods for identifying entities directly from imagery
WO2017180208A1 (en) 2016-04-13 2017-10-19 Google Inc. Wide and deep machine learning models
US10395356B2 (en) * 2016-05-25 2019-08-27 Kla-Tencor Corp. Generating simulated images from input images for semiconductor applications
US10346740B2 (en) * 2016-06-01 2019-07-09 Kla-Tencor Corp. Systems and methods incorporating a neural network and a forward physical model for semiconductor applications
US10380429B2 (en) 2016-07-11 2019-08-13 Google Llc Methods and systems for person detection in a video feed
WO2018053340A1 (en) * 2016-09-15 2018-03-22 Twitter, Inc. Super resolution using a generative adversarial network
JP2018063504A (ja) 2016-10-12 2018-04-19 株式会社リコー 生成モデル学習方法、装置及びプログラム
US10074038B2 (en) * 2016-11-23 2018-09-11 General Electric Company Deep learning medical systems and methods for image reconstruction and quality evaluation
CN110049709B (zh) 2016-12-07 2022-01-11 奥林巴斯株式会社 图像处理装置
JP6785942B2 (ja) * 2017-03-03 2020-11-18 富士フイルム株式会社 内視鏡システム、プロセッサ装置、及び、内視鏡システムの作動方法
CN110461210A (zh) 2017-03-30 2019-11-15 富士胶片株式会社 内窥镜系统及其工作方法
JP6840846B2 (ja) 2017-06-02 2021-03-10 富士フイルム株式会社 医療画像処理装置、内視鏡システム、診断支援装置、並びに医療業務支援装置
US11055843B2 (en) * 2017-06-14 2021-07-06 Electronics And Telecommunications Research Institute Capsule endoscope for determining lesion area and receiving device
CN107256552B (zh) 2017-06-14 2020-08-18 成都微识医疗设备有限公司 息肉图像识别系统及方法
CN107451994A (zh) 2017-07-25 2017-12-08 宸盛科华（北京）科技有限公司 基于生成对抗网络的物体检测方法及装置
CN107451619A (zh) 2017-08-11 2017-12-08 深圳市唯特视科技有限公司 一种基于感知生成对抗网络的小目标检测方法
JP7220017B2 (ja) * 2017-11-27 2023-02-09 デシフェックス 正常モデルの分析による組織病理学検査用組織サンプルの自動スクリーニング
US10540578B2 (en) * 2017-12-21 2020-01-21 International Business Machines Corporation Adapting a generative adversarial network to new data sources for image classification
US11011275B2 (en) 2018-02-12 2021-05-18 Ai.Skopy, Inc. System and method for diagnosing gastrointestinal neoplasm
US10841514B2 (en) 2018-03-20 2020-11-17 Endovigilant Inc Endoscopy video feature enhancement platform
US10810460B2 (en) * 2018-06-13 2020-10-20 Cosmo Artificial Intelligence—AI Limited Systems and methods for training generative adversarial networks and use of trained generative adversarial networks
US11100633B2 (en) 2018-06-13 2021-08-24 Cosmo Artificial Intelligence—Al Limited Systems and methods for processing real-time video from a medical image device and detecting objects in the video

Also Published As

Publication number Publication date
AR128530A2 (es) 2024-05-15
JP2021527549A (ja) 2021-10-14
US20190385018A1 (en) 2019-12-19
BR112020025390A2 (pt) 2021-03-09
EP3762868A1 (en) 2021-01-13
CN112543941A (zh) 2021-03-23
US20200226423A1 (en) 2020-07-16
US20210133507A1 (en) 2021-05-06
US11195052B2 (en) 2021-12-07
KR20210032951A (ko) 2021-03-25
MX2024004583A (es) 2024-04-30
TW202018586A (zh) 2020-05-16
US20240303299A1 (en) 2024-09-12
US10810460B2 (en) 2020-10-20
IL279416A (en) 2021-01-31
JP7455821B2 (ja) 2024-03-26
ZA202007745B (en) 2022-03-30
JP2024075635A (ja) 2024-06-04
BR112020025390A8 (pt) 2022-03-08
WO2019238712A1 (en) 2019-12-19
TWI793337B (zh) 2023-02-21
AU2019286544A1 (en) 2021-01-14
AU2024205765A1 (en) 2024-09-12
EP3582143A1 (en) 2019-12-18
SG11202012374WA (en) 2021-01-28
CA3103316A1 (en) 2019-12-19
AR115522A1 (es) 2021-01-27

Similar Documents

Publication Publication Date Title
MX2024004583A (es) Sistemas y metodos para entrenar redes generativas antagonicas y uso de redes generativas antagonicas entrenadas.
SG10201802739PA (en) Neural network systems
MX2023012650A (es) Sistemas y metodos para el seguimiento de portadores de bienes.
EP3059699A3 (en) Neural network training method and apparatus, and recognition method and apparatus
SG11201906576WA (en) Speech wakeup method, apparatus, and electronic device
CO2019013913A2 (es) Sistemas y métodos para proporcionar audio y datos en tiempo real
MX2020013580A (es) Aparato y metodo para procesamiento de imagenes y sistema para entrenamiento de red neuronal.
WO2017223475A3 (en) Real-time precipitation forecasting system
MX2019000713A (es) Sistemas, aparatos y metodos para maquina de aprendizaje distribuido.
EP3046053A3 (en) Method and apparatus for training language model, and method and apparatus for recognizing language
MY192514A (en) Vehicle identification methods and systems
BR112018071652A2 (pt) regras de geração e seleção de confirmação de bloco
MX2015014916A (es) Metodos y sistemas para la generacion de oraciones flexibles en un sistema de redes sociales.
WO2017120107A3 (en) Devices, methods, and graphical user interfaces for enabling display management of participant devices
EP3154054A3 (en) Method and apparatus for training language model and recognizing speech
EP2977936A3 (en) Neural network training method and apparatus, and data processing apparatus
WO2015148190A3 (en) Training, recognition, and generation in a spiking deep belief network (dbn)
WO2016200902A3 (en) Systems and methods for learning semantic patterns from textual data
GB2559932A (en) Methods and systems for providing a vehicle repair tip
EP4080407A4 (en) COMPUTER INFERENCE DEVICE, PATTERN LEARNING DEVICE AND COMPUTER LEARNING SYSTEM
JP2017502417A5 (es)
GB2565701A (en) Repair diagnostic system and method
TW201613358A (en) Image linking and sharing
SG10201705478PA (en) Method and apparatus for adaptively managing a vehicle
PH12018550213A1 (en) System and method for learning-based group tagging