JP2020516427A - 腫瘍進行のｒｅｃｉｓｔ評価 - Google Patents

腫瘍進行のｒｅｃｉｓｔ評価 Download PDF

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JP2020516427A
JP2020516427A JP2020505539A JP2020505539A JP2020516427A JP 2020516427 A JP2020516427 A JP 2020516427A JP 2020505539 A JP2020505539 A JP 2020505539A JP 2020505539 A JP2020505539 A JP 2020505539A JP 2020516427 A JP2020516427 A JP 2020516427A
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lesions
determining
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image
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JP2020516427A5 (enExample
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ケスケメシー、ピーター
ライケン、トビアス
カルパチ、イーディス
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ケイロン メディカル テクノロジーズ リミテッド
ケイロン メディカル テクノロジーズ リミテッド
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
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    • 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
    • G06T7/0016—Biomedical image inspection using an image reference approach involving temporal comparison
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0033—Features or image-related aspects of imaging apparatus, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of imaging apparatus in a room
    • A61B5/0035—Features or image-related aspects of imaging apparatus, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of imaging apparatus in a room adapted for acquisition of images from more than one imaging mode, e.g. combining MRI and optical tomography
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
    • A61B5/015—By temperature mapping of body part
    • 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
    • A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1073—Measuring volume, e.g. of limbs
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4842—Monitoring progression or stage of a disease
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4887—Locating particular structures in or on the body
    • 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
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03—Computed tomography [CT]
    • A61B6/032—Transmission computed tomography [CT]
    • G—PHYSICS
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    • 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
    • G06F18/211—Selection of the most significant subset of features
    • G—PHYSICS
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
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    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/2431—Multiple classes
    • G—PHYSICS
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    • 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
    • G—PHYSICS
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    • 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
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • 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
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
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    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • 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
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    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • 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
    • G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • 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 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
    • G06T2207/10072—Tomographic images
    • G06T2207/10081—Computed x-ray tomography [CT]
    • 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
    • G06T2207/30096—Tumor; Lesion
    • 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

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  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • General Physics & Mathematics (AREA)
  • Public Health (AREA)
  • Artificial Intelligence (AREA)
  • Pathology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Data Mining & Analysis (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Veterinary Medicine (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Evolutionary Computation (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • General Engineering & Computer Science (AREA)
  • Radiology & Medical Imaging (AREA)
  • Mathematical Physics (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Computational Linguistics (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Quality & Reliability (AREA)
  • Geometry (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Optics & Photonics (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Databases & Information Systems (AREA)
  • Pulmonology (AREA)
JP2020505539A 2017-04-11 2018-04-11 腫瘍進行のｒｅｃｉｓｔ評価 Pending JP2020516427A (ja)

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GB1705876.9 2017-04-11
GBGB1705876.9A GB201705876D0 (en) 2017-04-11 2017-04-11 Recist
PCT/GB2018/050969 WO2018189541A1 (en) 2017-04-11 2018-04-11 Recist assessment of tumour progression

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JP2020516427A5 JP2020516427A5 (enExample) 2021-05-06

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US (1) US11593943B2 (enExample)
EP (1) EP3610456A1 (enExample)
JP (1) JP2020516427A (enExample)
GB (1) GB201705876D0 (enExample)
WO (1) WO2018189541A1 (enExample)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2022096188A (ja) * 2020-12-17 2022-06-29 株式会社クボタ 検査装置及び検査方法
KR20220105723A (ko) * 2021-01-20 2022-07-28 재단법인 아산사회복지재단 인공 신경망 기반의 의료 영상 분석 장치, 방법 및 이의 학습 방법
JPWO2023053364A1 (enExample) * 2021-09-30 2023-04-06
WO2025053296A1 (ko) * 2023-09-04 2025-03-13 프로메디우스 주식회사 인공 신경망 기반의 의료 영상 분석 장치, 방법 및 이의 학습 방법
WO2024242525A3 (ko) * 2023-05-19 2025-08-21 주식회사 루닛 병리 슬라이드 이미지를 분석하는 방법 및 장치

Families Citing this family (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2017348111B2 (en) 2016-10-27 2023-04-06 Progenics Pharmaceuticals, Inc. Network for medical image analysis, decision support system, and related graphical user interface (GUI) applications
GB201705876D0 (en) 2017-04-11 2017-05-24 Kheiron Medical Tech Ltd Recist
GB201705911D0 (en) 2017-04-12 2017-05-24 Kheiron Medical Tech Ltd Abstracts
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
US10973486B2 (en) 2018-01-08 2021-04-13 Progenics Pharmaceuticals, Inc. Systems and methods for rapid neural network-based image segmentation and radiopharmaceutical uptake determination
DK3806744T3 (da) 2018-06-14 2022-05-23 Kheiron Medical Tech Ltd Øjeblikkelig undersøgelse
CN109124669A (zh) * 2018-08-30 2019-01-04 沈阳柏敖生信生物科技有限公司 一种整形前ct数据测量方法
CN109528230B (zh) * 2018-11-21 2021-08-17 山东浪潮科学研究院有限公司 一种基于多级变换网络的乳腺肿瘤分割方法及装置
CN111292289B (zh) * 2018-12-07 2023-09-26 中国科学院深圳先进技术研究院 基于分割网络的ct肺肿瘤分割方法、装置、设备及介质
US11657508B2 (en) 2019-01-07 2023-05-23 Exini Diagnostics Ab Systems and methods for platform agnostic whole body image segmentation
TWI872062B (zh) 2019-04-24 2025-02-11 美商普吉尼製藥公司 用於偵測轉移之骨掃描影像之自動及互動式分析系統、裝置及方法
US11948283B2 (en) 2019-04-24 2024-04-02 Progenics Pharmaceuticals, Inc. Systems and methods for interactive adjustment of intensity windowing in nuclear medicine images
US12417533B2 (en) 2019-09-27 2025-09-16 Progenics Pharmaceuticals, Inc. Systems and methods for artificial intelligence-based image analysis for cancer assessment
US11564621B2 (en) 2019-09-27 2023-01-31 Progenies Pharmacenticals, Inc. Systems and methods for artificial intelligence-based image analysis for cancer assessment
US11900597B2 (en) 2019-09-27 2024-02-13 Progenics Pharmaceuticals, Inc. Systems and methods for artificial intelligence-based image analysis for cancer assessment
US11321844B2 (en) 2020-04-23 2022-05-03 Exini Diagnostics Ab Systems and methods for deep-learning-based segmentation of composite images
US11386988B2 (en) 2020-04-23 2022-07-12 Exini Diagnostics Ab Systems and methods for deep-learning-based segmentation of composite images
US11721428B2 (en) 2020-07-06 2023-08-08 Exini Diagnostics Ab Systems and methods for artificial intelligence-based image analysis for detection and characterization of lesions
CN111870279B (zh) * 2020-07-31 2022-01-28 西安电子科技大学 超声图像左室心肌的分割方法、系统及应用
US11610306B2 (en) 2020-12-16 2023-03-21 Industrial Technology Research Institute Medical image analysis method and device
US12198038B2 (en) * 2020-12-31 2025-01-14 Deepx Co., Ltd. Method for artificial neural network and neural processing unit
CN113658106B (zh) * 2021-07-21 2025-03-07 杭州深睿博联科技有限公司 一种基于腹部增强ct的肝脏病灶自动诊断系统
CN113781390B (zh) * 2021-07-28 2025-06-03 杭州深睿博联科技有限公司 一种基于半监督学习的胰腺囊肿鉴别方法和系统
CO2022000507A1 (es) * 2022-01-21 2022-01-28 Indigo Tech S A S Sistema y método para caracterizar tumores pulmonares (sólidos, subsólidos y vidrio esmerilado) basado en criterios invasivos mediante distancia pixelar y algoritmos de aprendizaje profundo
US20240428401A1 (en) * 2023-06-22 2024-12-26 Siemens Healthineers Ag Ai-based workflow for the assessment of tumors from medical images
WO2025223980A1 (en) 2024-04-22 2025-10-30 Sycai Technologies, Sl Method, system and computer program for identification and temporal tracking of equivalent lesions in medical images

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006255412A (ja) * 2005-03-14 2006-09-28 General Electric Co <Ge> 腫瘍量を監視する方法及びシステム
JP2016534709A (ja) * 2013-10-28 2016-11-10 モレキュラー デバイシーズ， エルエルシー 顕微鏡画像内の個々の細胞を分類および識別するための方法およびシステム

Family Cites Families (30)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6075879A (en) 1993-09-29 2000-06-13 R2 Technology, Inc. Method and system for computer-aided lesion detection using information from multiple images
EP0850405A2 (en) 1995-09-19 1998-07-01 Morphometrix Technologies Inc. A neural network assisted multi-spectral segmentation system
US6324532B1 (en) 1997-02-07 2001-11-27 Sarnoff Corporation Method and apparatus for training a neural network to detect objects in an image
US20050113651A1 (en) * 2003-11-26 2005-05-26 Confirma, Inc. Apparatus and method for surgical planning and treatment monitoring
US7430321B2 (en) * 2004-09-09 2008-09-30 Siemens Medical Solutions Usa, Inc. System and method for volumetric tumor segmentation using joint space-intensity likelihood ratio test
US7783094B2 (en) 2005-06-02 2010-08-24 The Medipattern Corporation System and method of computer-aided detection
US7809175B2 (en) 2005-07-01 2010-10-05 Hologic, Inc. Displaying and navigating computer-aided detection results on a review workstation
US8238637B2 (en) 2006-10-25 2012-08-07 Siemens Computer Aided Diagnosis Ltd. Computer-aided diagnosis of malignancies of suspect regions and false positives in images
US7903861B2 (en) 2006-12-28 2011-03-08 Carestream Health, Inc. Method for classifying breast tissue density using computed image features
US20100158332A1 (en) 2008-12-22 2010-06-24 Dan Rico Method and system of automated detection of lesions in medical images
US8064677B2 (en) * 2009-11-25 2011-11-22 Fujifilm Corporation Systems and methods for measurement of objects of interest in medical images
US8582858B2 (en) 2009-12-17 2013-11-12 The Regents Of The University Of California Method and apparatus for quantitative analysis of breast density morphology based on MRI
US9047664B2 (en) 2013-05-31 2015-06-02 Kathryn Pearson Peyton Apparatus and method for utilizing mammogram images for verification
US9741116B2 (en) 2013-08-29 2017-08-22 Mayo Foundation For Medical Education And Research System and method for boundary classification and automatic polyp detection
US8879813B1 (en) * 2013-10-22 2014-11-04 Eyenuk, Inc. Systems and methods for automated interest region detection in retinal images
US10376230B2 (en) 2013-11-19 2019-08-13 Icad, Inc. Obtaining breast density measurements and classifications
US9922433B2 (en) 2015-05-29 2018-03-20 Moira F. Schieke Method and system for identifying biomarkers using a probability map
CN106096491B (zh) 2016-02-04 2022-04-12 上海市第一人民医院 一种眼底彩色照相图像中微动脉瘤自动化识别方法
CN105931226A (zh) 2016-04-14 2016-09-07 南京信息工程大学 基于深度学习的自适应椭圆拟合细胞自动检测分割方法
CN106204587B (zh) 2016-05-27 2019-01-08 浙江德尚韵兴图像科技有限公司 基于深度卷积神经网络和区域竞争模型的多器官分割方法
WO2017210690A1 (en) 2016-06-03 2017-12-07 Lu Le Spatial aggregation of holistically-nested convolutional neural networks for automated organ localization and segmentation in 3d medical scans
US9589374B1 (en) 2016-08-01 2017-03-07 12 Sigma Technologies Computer-aided diagnosis system for medical images using deep convolutional neural networks
US10049457B2 (en) 2016-08-29 2018-08-14 CephX Technologies Ltd. Automated cephalometric analysis using machine learning
US20180129900A1 (en) 2016-11-04 2018-05-10 Siemens Healthcare Gmbh Anonymous and Secure Classification Using a Deep Learning Network
US10127659B2 (en) 2016-11-23 2018-11-13 General Electric Company Deep learning medical systems and methods for image acquisition
US11449985B2 (en) 2016-12-02 2022-09-20 Regents Of The University Of Minnesota Computer vision for cancerous tissue recognition
JP2020510463A (ja) 2017-01-27 2020-04-09 アーテリーズ インコーポレイテッド 全層畳み込みネットワークを利用する自動化されたセグメンテーション
US10037601B1 (en) 2017-02-02 2018-07-31 International Business Machines Corporation Systems and methods for automatic detection of architectural distortion in two dimensional mammographic images
GB201705876D0 (en) 2017-04-11 2017-05-24 Kheiron Medical Tech Ltd Recist
GB201705911D0 (en) 2017-04-12 2017-05-24 Kheiron Medical Tech Ltd Abstracts

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006255412A (ja) * 2005-03-14 2006-09-28 General Electric Co <Ge> 腫瘍量を監視する方法及びシステム
JP2016534709A (ja) * 2013-10-28 2016-11-10 モレキュラー デバイシーズ， エルエルシー 顕微鏡画像内の個々の細胞を分類および識別するための方法およびシステム

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
J. LONG ET AL.: "Fully Convolutional Networks for Semantic Segmentation", PROC. OF IEEE COMPUTER VISION AND PATTERN RECOGNITION, JPN6022008723, 2015, pages 3431 - 3440, ISSN: 0004893108 *

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JP7101236B2 (ja) 2020-12-17 2022-07-14 株式会社クボタ 検査装置及び検査方法
KR20220105723A (ko) * 2021-01-20 2022-07-28 재단법인 아산사회복지재단 인공 신경망 기반의 의료 영상 분석 장치, 방법 및 이의 학습 방법
KR102548203B1 (ko) * 2021-01-20 2023-06-29 프로메디우스 주식회사 인공 신경망 기반의 의료 영상 분석 장치, 방법 및 이의 학습 방법
JPWO2023053364A1 (enExample) * 2021-09-30 2023-04-06
JP7395767B2 (ja) 2021-09-30 2023-12-11 楽天グループ株式会社 情報処理装置、情報処理方法及び情報処理プログラム
WO2024242525A3 (ko) * 2023-05-19 2025-08-21 주식회사 루닛 병리 슬라이드 이미지를 분석하는 방법 및 장치
WO2025053296A1 (ko) * 2023-09-04 2025-03-13 프로메디우스 주식회사 인공 신경망 기반의 의료 영상 분석 장치, 방법 및 이의 학습 방법

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