Clinical-grade Computational Pathology Using Weakly Supervised Deep Learning on Whole Slide Images

被引：0
|
作者：
Barisoni, Laura [1 ]
Luo, Xunrong [2 ]
机构：
[1] Duke Univ, Sch Med, Dept Pathol, Durham, NC 27706 USA
[2] Duke Univ, Sch Med, Dept Med, Div Nephrol, Durham, NC 27706 USA
来源：
TRANSPLANTATION | 2019年 / 103卷 / 11期
关键词：
D O I：
10.1097/TP.0000000000002972
中图分类号：
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号：
100102 ;
摘要：
引用
收藏
页码：2213 / 2214
页数：2
相关论文
共 50 条
  • [1] Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
    Campanella, Gabriele
    Hanna, Matthew G.
    Geneslaw, Luke
    Miraflor, Allen
    Silva, Vitor Werneck Krauss
    Busam, Klaus J.
    Brogi, Edi
    Reuter, Victor E.
    Klimstra, David S.
    Fuchs, Thomas J.
    NATURE MEDICINE, 2019, 25 (08) : 1301 - +
  • [2] Clinical-grade computational pathology using weakly supervised deep learning on whole slide images
    Gabriele Campanella
    Matthew G. Hanna
    Luke Geneslaw
    Allen Miraflor
    Vitor Werneck Krauss Silva
    Klaus J. Busam
    Edi Brogi
    Victor E. Reuter
    David S. Klimstra
    Thomas J. Fuchs
    Nature Medicine, 2019, 25 : 1301 - 1309
  • [3] Federated learning on whole slide images using weakly supervised computational pathology
    Lu, Ming Yang
    Kong, Dehan
    Lipkova, Jana
    Chen, Richard J.
    Singh, Rajendra
    Chen, Tiffany Y.
    Williamson, Drew F. K.
    Mahmood, Faisal
    CLINICAL CANCER RESEARCH, 2021, 27 (05)
  • [4] Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology
    Laleh, Narmin Ghaffari
    Muti, Hannah Sophie
    Loeffler, Chiara Maria Lavinia
    Echle, Amelie
    Saldanha, Oliver Lester
    Mahmood, Faisal
    Lu, Ming Y.
    Trautwein, Christian
    Langer, Rupert
    Dislich, Bastian
    Buelow, Roman D.
    Grabsch, Heike Irmgard
    Brenner, Hermann
    Chang-Claude, Jenny
    Alwers, Elizabeth
    Brinker, Titus J.
    Khader, Firas
    Truhn, Daniel
    Gaisa, Nadine T.
    Boor, Peter
    Hoffmeister, Michael
    Schulz, Volkmar
    Kather, Jakob Nikolas
    MEDICAL IMAGE ANALYSIS, 2022, 79
  • [5] Clinical-grade endometrial cancer detection system via whole-slide images using deep learning
    Zhang, Xiaobo
    Ba, Wei
    Zhao, Xiaoya
    Wang, Chen
    Li, Qiting
    Zhang, Yinli
    Lu, Shanshan
    Wang, Lang
    Wang, Shuhao
    Song, Zhigang
    Shen, Danhua
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [6] Data-efficient and weakly supervised computational pathology on whole-slide images
    Lu, Ming Y.
    Williamson, Drew F. K.
    Chen, Tiffany Y.
    Chen, Richard J.
    Barbieri, Matteo
    Mahmood, Faisal
    NATURE BIOMEDICAL ENGINEERING, 2021, 5 (06) : 555 - +
  • [7] Data-efficient and weakly supervised computational pathology on whole-slide images
    Ming Y. Lu
    Drew F. K. Williamson
    Tiffany Y. Chen
    Richard J. Chen
    Matteo Barbieri
    Faisal Mahmood
    Nature Biomedical Engineering, 2021, 5 : 555 - 570
  • [8] From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology
    El Nahhas, Omar S. M.
    van Treeck, Marko
    Woelflein, Georg
    Unger, Michaela
    Ligero, Marta
    Lenz, Tim
    Wagner, Sophia J.
    Hewitt, Katherine J.
    Khader, Firas
    Foersch, Sebastian
    Truhn, Daniel
    Kather, Jakob Nikolas
    NATURE PROTOCOLS, 2024, : 293 - 316
  • [9] Weakly Supervised Segmentation by Tensor Graph Learning for Whole Slide Images
    Zhang, Qinghua
    Chen, Zhao
    MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2022, PT II, 2022, 13432 : 253 - 262
  • [10] A Weakly Supervised Deep Learning Framework for Whole Slide Classification to Facilitate Digital Pathology in Animal Study
    Bussola, Nicole
    Xu, Joshua
    Wu, Leihong
    Gorini, Lorenzo
    Zhang, Yifan
    Furlanello, Cesare
    Tong, Weida
    CHEMICAL RESEARCH IN TOXICOLOGY, 2023, 36 (08) : 1321 - 1331
12345