JP2023551335A - リンパ節のがん侵襲を予測するための機械学習 - Google Patents

リンパ節のがん侵襲を予測するための機械学習 Download PDF

Info

Publication number
JP2023551335A
JP2023551335A JP2023533338A JP2023533338A JP2023551335A JP 2023551335 A JP2023551335 A JP 2023551335A JP 2023533338 A JP2023533338 A JP 2023533338A JP 2023533338 A JP2023533338 A JP 2023533338A JP 2023551335 A JP2023551335 A JP 2023551335A
Authority
JP
Japan
Prior art keywords
risk
lymph nodes
level
model
cancer
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.)
Pending
Application number
JP2023533338A
Other languages
English (en)
Japanese (ja)
Other versions
JP2023551335A5 (https=
Inventor
ワシュコ・ジュニア・ジョージ
エステパル・ラウル・サン・ホセ
キンゼイ・チャールズ・マシュー
スティーブンソン・クリストファー・スコット
Original Assignee
ジョンソン・アンド・ジョンソン・エンタープライズ・イノベーション・インコーポレイテッド
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 ジョンソン・アンド・ジョンソン・エンタープライズ・イノベーション・インコーポレイテッド filed Critical ジョンソン・アンド・ジョンソン・エンタープライズ・イノベーション・インコーポレイテッド
Publication of JP2023551335A publication Critical patent/JP2023551335A/ja
Publication of JP2023551335A5 publication Critical patent/JP2023551335A5/ja
Pending legal-status Critical Current

Links

Images

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
    • 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
    • G06T7/0002—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
    • 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
    • G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
    • 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
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
    • 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
    • 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
    • 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/7715—Feature extraction, e.g. by transforming the feature space, e.g. multi-dimensional scaling [MDS]; Mappings, e.g. subspace methods
    • 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • 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
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • 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
    • 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
    • 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
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • 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
    • G06T2207/10068—Endoscopic 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
    • G06T2207/10—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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10088—Magnetic resonance imaging [MRI]
    • 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
    • G06T2207/10104—Positron emission tomography [PET]
    • 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
    • G06T2207/10116—X-ray 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10132—Ultrasound 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
    • G06T2207/20048—Transform domain processing
    • G06T2207/20064—Wavelet transform [DWT]
    • 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
    • G06T2207/30061—Lung
    • 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
    • G06T2207/30061—Lung
    • G06T2207/30064—Lung nodule
    • 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
    • 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
    • G06T2207/30101—Blood vessel; Artery; Vein; Vascular
    • 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)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Public Health (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Epidemiology (AREA)
  • Biomedical Technology (AREA)
  • Primary Health Care (AREA)
  • Data Mining & Analysis (AREA)
  • Multimedia (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • Pathology (AREA)
  • Quality & Reliability (AREA)
  • Molecular Biology (AREA)
  • Computational Linguistics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Biophysics (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Image Analysis (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
  • Steroid Compounds (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)
  • Nuclear Medicine (AREA)
  • Ultra Sonic Daignosis Equipment (AREA)
JP2023533338A 2020-12-01 2021-11-30 リンパ節のがん侵襲を予測するための機械学習 Pending JP2023551335A (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US202063120102P 2020-12-01 2020-12-01
US63/120,102 2020-12-01
PCT/IB2021/061125 WO2022118190A1 (en) 2020-12-01 2021-11-30 Machine learning to predict cancer involvement of lymph nodes

Publications (2)

Publication Number Publication Date
JP2023551335A true JP2023551335A (ja) 2023-12-07
JP2023551335A5 JP2023551335A5 (https=) 2024-11-26

Family

ID=78822446

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2023533338A Pending JP2023551335A (ja) 2020-12-01 2021-11-30 リンパ節のがん侵襲を予測するための機械学習

Country Status (10)

Country Link
US (1) US12608805B2 (https=)
EP (1) EP4256511A1 (https=)
JP (1) JP2023551335A (https=)
KR (1) KR20230117391A (https=)
CN (1) CN116848548A (https=)
AU (1) AU2021390184A1 (https=)
CA (1) CA3203664A1 (https=)
MX (1) MX2023006446A (https=)
TW (1) TW202238515A (https=)
WO (1) WO2022118190A1 (https=)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12333729B2 (en) * 2022-08-11 2025-06-17 Siemens Medical Solutions Usa, Inc. Automatic staging of non-small cell lung cancer from medical imaging and biopsy reports
KR20250138867A (ko) * 2024-03-13 2025-09-23 연세대학교 산학협력단 인공지능 모델을 기반으로 조기위암에서 절제 전 림프절 전이 위험도를 예측하기 위한 진단 보조 장치 및 방법
CN118334440B (zh) * 2024-04-26 2025-09-26 北京安德医智科技有限公司 一种基于ct影像进行m期分类预测的处理方法和装置
CN119517426A (zh) * 2024-11-19 2025-02-25 中南大学湘雅二医院 一种乳腺癌腋窝淋巴结转移预测半监督模型的构建方法

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20100019057A (ko) * 2008-08-08 2010-02-18 울산대학교 산학협력단 확산강조영상 기반의 임파절 추출 방법
US20200193594A1 (en) * 2018-12-17 2020-06-18 Siemens Healthcare Gmbh Hierarchical analysis of medical images for identifying and assessing lymph nodes
US20200245921A1 (en) * 2019-02-04 2020-08-06 Massachusetts Institute Of Technology Systems and methods for lymph node and vessel imaging

Family Cites Families (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1356421B1 (en) * 2001-01-23 2009-12-02 Health Discovery Corporation Computer-aided image analysis
US8078554B2 (en) * 2008-09-03 2011-12-13 Siemens Medical Solutions Usa, Inc. Knowledge-based interpretable predictive model for survival analysis
US8391579B2 (en) * 2010-03-11 2013-03-05 Siemens Corporation Method and system for automatic detection and segmentation of axillary lymph nodes
WO2016191567A1 (en) * 2015-05-26 2016-12-01 Memorial Sloan-Kettering Cancer Center System, method and computer-accessible medium for texture analysis of hepatopancreatobiliary diseases
EP3629898A4 (en) * 2017-05-30 2021-01-20 Arterys Inc. AUTOMATED LESION DETECTION, SEGMENTATION AND LENGTH IDENTIFICATION
CA3069612A1 (en) * 2017-07-13 2019-01-17 Institut Gustave-Roussy A radiomics-based imaging tool to monitor tumor-lymphocyte infiltration and outcome in cancer patients treated by anti-pd-1/pd-l1
US10441225B2 (en) * 2018-02-21 2019-10-15 Case Western Reserve University Predicting disease recurrence following trimodality therapy in non-small cell lung cancer using computed tomography derived radiomic features and clinico-pathologic features
WO2020014477A1 (en) * 2018-07-11 2020-01-16 The University Of North Carolina At Chapel Hill Methods, systems, and computer readable media for image analysis with deep learning to predict breast cancer classes
US12369842B2 (en) * 2018-08-31 2025-07-29 Seno Medical Instruments, Inc. Optoacoustic feature score correlation to ipsilateral axillary lymph node status
EP4597424A3 (en) * 2019-01-07 2025-10-29 Exini Diagnostics AB Systems and methods for platform agnostic whole body image segmentation
CN109785310B (zh) * 2019-01-11 2023-06-06 南京信息工程大学 一种基于乳腺淋巴结全景图像计算的自动分期系统
KR102258756B1 (ko) * 2019-04-12 2021-05-28 계명대학교 산학협력단 의료 영상을 이용한 암의 병기 결정 방법 및 의료 영상 분석 장치
CN111340128A (zh) * 2020-03-05 2020-06-26 上海市肺科医院（上海市职业病防治院） 一种肺癌转移性淋巴结病理图像识别系统及方法
CN111445946B (zh) * 2020-03-26 2021-07-30 山东省肿瘤防治研究院（山东省肿瘤医院） 一种利用pet/ct图像推算肺癌基因分型的演算方法
CN111539918B (zh) * 2020-04-15 2023-05-02 复旦大学附属肿瘤医院 基于深度学习的磨玻璃肺结节风险分层预测系统
GB202007256D0 (en) * 2020-05-15 2020-07-01 Univ Oxford Innovation Ltd Functional imaging features from computed tomography images
CN111584046B (zh) * 2020-05-15 2023-10-27 周凌霄 一种医学影像数据ai处理方法
JP7702477B2 (ja) * 2020-07-24 2025-07-03 オンク エーアイ インコーポレイテッド 画像データ及び臨床データの深層学習解析を用いた免疫療法治療に対する反応予測
AU2020101581A4 (en) * 2020-07-31 2020-09-17 Ampavathi, Anusha MS Lymph node metastases detection from ct images using deep learning
CN111862085A (zh) * 2020-08-03 2020-10-30 徐州市肿瘤医院 一种周围型nsclc的隐匿性n2淋巴结转移的预测方法及系统
CN112530592A (zh) * 2020-12-14 2021-03-19 青岛大学 一种基于机器学习的非小细胞肺癌风险预测方法
US12094107B2 (en) * 2021-04-07 2024-09-17 Optellum Limited CAD device and method for analyzing medical images

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20100019057A (ko) * 2008-08-08 2010-02-18 울산대학교 산학협력단 확산강조영상 기반의 임파절 추출 방법
US20200193594A1 (en) * 2018-12-17 2020-06-18 Siemens Healthcare Gmbh Hierarchical analysis of medical images for identifying and assessing lymph nodes
US20200245921A1 (en) * 2019-02-04 2020-08-06 Massachusetts Institute Of Technology Systems and methods for lymph node and vessel imaging

Also Published As

Publication number Publication date
US12608805B2 (en) 2026-04-21
EP4256511A1 (en) 2023-10-11
WO2022118190A1 (en) 2022-06-09
AU2021390184A9 (en) 2024-07-11
MX2023006446A (es) 2023-08-11
CA3203664A1 (en) 2022-06-09
US20240005502A1 (en) 2024-01-04
KR20230117391A (ko) 2023-08-08
TW202238515A (zh) 2022-10-01
CN116848548A (zh) 2023-10-03
AU2021390184A1 (en) 2023-07-20

Similar Documents

Publication Publication Date Title
US11640661B2 (en) System and method for predicting the risk of future lung cancer
US12608805B2 (en) Machine learning to predict lung cancer involvement of lymph nodes
US12293832B2 (en) System and method for predicting the risk of future lung cancer
Tanner et al. Standard bronchoscopy with fluoroscopy vs thin bronchoscopy and radial endobronchial ultrasound for biopsy of pulmonary lesions: a multicenter, prospective, randomized trial
Goyal et al. Application of artificial intelligence in pancreaticobiliary diseases
Rajwa et al. Outcomes of cytoreductive radical prostatectomy for oligometastatic prostate cancer on prostate-specific membrane antigen positron emission tomography: results of a multicenter European study
Fatima et al. Ultrasound delta-radiomics during radiotherapy to predict recurrence in patients with head and neck squamous cell carcinoma
Wang et al. Development and validation of artificial intelligence models for preoperative prediction of inferior mesenteric artery lymph nodes metastasis in left colon and rectal cancer
US20240379237A1 (en) Multimodal System and Method for Predicting Cancer
Groot et al. Use of imaging during symptomatic follow-up after resection of pancreatic ductal adenocarcinoma
Hu et al. Siamese delta network with multimodality fusion for systemic treatment response prediction in pancreatic cancer
Liu et al. The efficacy and safety of submucosal tunnel endoscopic resection for the treatment of upper gastrointestinal submucosal tumors: a systematic review and meta-analysis
Rajalaxmi et al. A systematic review of lung cancer prediction using machine learning algorithm
EA048045B1 (ru) Машинное обучение для прогнозирования ракового поражения лимфатических узлов
CN118098556A (zh) 预测肝细胞癌患者接受治疗疗效的模型建立方法及其应用
Sandhu et al. Improving breast cancer detection with deep learning techniques: a study using CBIS-DDMS dataset
Smith et al. Innovations in Biomedical Engineering for Cancer Treatment and Detection
AU2021106409A4 (en) Six sigma,super-sigma, hyper-sigma, and super-hyper-sigma approach to depreciate inexorability among lung cancer patients
Gao et al. Hong Liu, Qing Ma and Linlin Zhu
Rifi Radiomics in cancer therapy: unraveling the biology to optimize treatment
Patange et al. An Analysis of Machine Learning and Image Processing Techniques for Early Detection of Lung Cancer
Desai et al. Skin Cancer Detection Using Lightweight Deep Learning Models
Mareddy et al. An overview of imaging in pancreatic cancer
Ceylanoglu et al. Utilizing artificial intelligence for the diagnosis of ocular surface squamous neoplasia with ultrasound biomicroscopy images
Perlo et al. Exploiting Liver CT scans in Colorectal Carcinoma genomics mutation classification

Legal Events

Date Code Title Description
A521 Request for written amendment filed

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20241118

A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20241118

RD04 Notification of resignation of power of attorney

Free format text: JAPANESE INTERMEDIATE CODE: A7424

Effective date: 20250127

A977 Report on retrieval

Free format text: JAPANESE INTERMEDIATE CODE: A971007

Effective date: 20250730

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20250902

A02 Decision of refusal

Free format text: JAPANESE INTERMEDIATE CODE: A02

Effective date: 20260303