JP2023551335A5 - - Google Patents

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Publication number
JP2023551335A5
JP2023551335A5 JP2023533338A JP2023533338A JP2023551335A5 JP 2023551335 A5 JP2023551335 A5 JP 2023551335A5 JP 2023533338 A JP2023533338 A JP 2023533338A JP 2023533338 A JP2023533338 A JP 2023533338A JP 2023551335 A5 JP2023551335 A5 JP 2023551335A5
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JP
Japan
Prior art keywords
risk
lymph nodes
level
metastatic cancer
model
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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
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English (en)
Japanese (ja)
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JP2023551335A (ja
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Publication date
Application filed filed Critical
Priority claimed from PCT/IB2021/061125 external-priority patent/WO2022118190A1/en
Publication of JP2023551335A publication Critical patent/JP2023551335A/ja
Publication of JP2023551335A5 publication Critical patent/JP2023551335A5/ja
Pending legal-status Critical Current

Links

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 JP2023551335A (ja) 2023-12-07
JP2023551335A5 true 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
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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

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KR101038729B1 (ko) * 2008-08-08 2011-06-03 울산대학교 산학협력단 확산강조영상 기반의 임파절 추출 방법
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
US11514571B2 (en) 2018-12-17 2022-11-29 Siemens Healthcare Gmbh Hierarchical analysis of medical images for identifying and assessing lymph nodes
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
JP7381590B2 (ja) * 2019-02-04 2023-11-15 マサチューセッツ インスティテュート オブ テクノロジー リンパ節及びリンパ管イメージングのためのシステム及び方法
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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
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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

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