Deep learning system for lymph node quantification and metastatic cancer identification from whole-slide pathology images

被引:0
|
作者
Yajie Hu
Feng Su
Kun Dong
Xinyu Wang
Xinya Zhao
Yumeng Jiang
Jianming Li
Jiafu Ji
Yu Sun
机构
[1] Peking University Cancer Hospital and Institute,Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology
[2] Peking University,Peking
[3] Tsinghua University,Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies
[4] Peking University Cancer Hospital and Institute,Institute for Artificial Intelligence, The State Key Laboratory of Intelligence Technology and Systems, Beijing National Research Center for Information Science and Technology, Department of Computer Science
来源
Gastric Cancer | 2021年 / 24卷
关键词
Gastric cancer; Deep learning; Lymph node quantification; Lymph node metastasis;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:868 / 877
页数:9
相关论文
共 50 条
  • [1] Deep learning system for lymph node quantification and metastatic cancer identification from whole-slide pathology images
    Hu, Yajie
    Su, Feng
    Dong, Kun
    Wang, Xinyu
    Zhao, Xinya
    Jiang, Yumeng
    Li, Jianming
    Ji, Jiafu
    Sun, Yu
    GASTRIC CANCER, 2021, 24 (04) : 868 - 877
  • [2] Identification of lymph node metastasis in pre-operation cervical cancer patients by weakly supervised deep learning from histopathological whole-slide biopsy images
    Liu, Qingqing
    Jiang, Nan
    Hao, Yiping
    Hao, Chunyan
    Wang, Wei
    Bian, Tingting
    Wang, Xiaohong
    Li, Hua
    Zhang, Yan
    Kang, Yanjun
    Xie, Fengxiang
    Li, Yawen
    Jiang, XuJi
    Feng, Yuan
    Mao, Zhonghao
    Wang, Qi
    Gao, Qun
    Zhang, Wenjing
    Cui, Baoxia
    Dong, Taotao
    CANCER MEDICINE, 2023, 12 (17): : 17952 - 17966
  • [3] Prototypical multiple instance learning for predicting lymph node metastasis of breast cancer from whole-slide pathological images
    Yu, Jin-Gang
    Wu, Zihao
    Ming, Yu
    Deng, Shule
    Li, Yuanqing
    Ou, Caifeng
    He, Chunjiang
    Wang, Baiye
    Zhang, Pusheng
    Wang, Yu
    MEDICAL IMAGE ANALYSIS, 2023, 85
  • [4] Detection of Lung Cancer Lymph Node Metastases from Whole-Slide Histopathologic Images Using a Two-Step Deep Learning Approach
    Hoa Hoang Ngoc Pham
    Futakuchi, Mitsuru
    Bychkov, Andrey
    Furukawa, Tomoi
    Kuroda, Kishio
    Fukuoka, Junya
    AMERICAN JOURNAL OF PATHOLOGY, 2019, 189 (12): : 2428 - 2439
  • [5] SliDL: A toolbox for processing whole-slide images in deep learning
    Berman, Adam G.
    Orchard, William R.
    Gehrung, Marcel
    Markowetz, Florian
    PLOS ONE, 2023, 18 (08):
  • [6] Deep Learning Assisted Diagnosis of Onychomycosis on Whole-Slide Images
    Jansen, Philipp
    Creosteanu, Adelaida
    Matyas, Viktor
    Dilling, Amrei
    Pina, Ana
    Saggini, Andrea
    Schimming, Tobias
    Landsberg, Jennifer
    Burgdorf, Birte
    Giaquinta, Sylvia
    Mueller, Hansgeorg
    Emberger, Michael
    Rose, Christian
    Schmitz, Lutz
    Geraud, Cyrill
    Schadendorf, Dirk
    Schaller, Joerg
    Alber, Maximilian
    Klauschen, Frederick
    Griewank, Klaus G.
    JOURNAL OF FUNGI, 2022, 8 (09)
  • [7] Deep learning-based histotype diagnosis of ovarian carcinoma whole-slide pathology images
    Farahani, Hossein
    Boschman, Jeffrey
    Farnell, David
    Darbandsari, Amirali
    Zhang, Allen
    Ahmadvand, Pouya
    Jones, Steven J. M.
    Huntsman, David
    Kobel, Martin
    Gilks, C. Blake
    Singh, Naveena
    Bashashati, Ali
    MODERN PATHOLOGY, 2022, 35 (12) : 1983 - 1990
  • [8] NRK-ABMIL: Subtle Metastatic Deposits Detection for Predicting Lymph Node Metastasis in Breast Cancer Whole-Slide Images
    Sajjad, Usama
    Rezapour, Mostafa
    Su, Ziyu
    Tozbikian, Gary H.
    Gurcan, Metin N.
    Niazi, M. Khalid Khan
    CANCERS, 2023, 15 (13)
  • [9] Identification of nodal micrometastasis in colorectal cancer using deep learning on annotation-free whole-slide images
    Chuang, Wen-Yu
    Chen, Chi-Chung
    Yu, Wei-Hsiang
    Yeh, Chi-Ju
    Chang, Shang-Hung
    Ueng, Shir-Hwa
    Wang, Tong-Hong
    Hsueh, Chuen
    Kuo, Chang-Fu
    Yeh, Chao-Yuan
    MODERN PATHOLOGY, 2021, 34 (10) : 1901 - 1911
  • [10] A deep convolutional neural network for segmentation of whole-slide pathology images in glioblastoma
    Shirazi, Amin Zadeh
    McDonnell, Mark D.
    Fornaciari, Eric
    Bagherian, Narjes Sadat
    Scheer, Kaitlin G.
    Samuel, Michael S.
    Yaghoobi, Mahdi
    Ormsby, Rebecca J.
    Poonnoose, Santosh
    Tumes, Damon
    Gomez, Guillermo A.
    CLINICAL CANCER RESEARCH, 2021, 27 (05)