Federated learning for computational pathology on gigapixel whole slide images-Reference-Cited by-同舟云学术

Federated learning for computational pathology on gigapixel whole slide images

Published:2022-02 Issue: Volume:76 Page:102298
ISSN:1361-8415
Container-title:Medical Image Analysis
language:en
Short-container-title:Medical Image Analysis

Author:

Lu Ming Y.,Chen Richard J.,Kong Dehan,Lipkova Jana,Singh Rajendra,Williamson Drew F.K.,Chen Tiffany Y.,Mahmood Faisal

Funder

Brigham and Women's Hospital

National Institutes of Health

Google

National Human Genome Research Institute

National Science Foundation

National Institute of General Medical Sciences

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference64 articles.

1. Deep learning with differential privacy;Abadi,2016

2. Histographs: graphs in histopathology;Anand,2020

3. Andreux, M., Manoel, A., Menuet, R., Saillard, C., Simpson, C., 2020 a. Federated survival analysis with discrete-time cox models. arXiv preprint arXiv:2006.08997.

4. Siloed feder- ated learning for multi-centric histopathology datasets;Andreux,2020

5. Can pathology diagnostic services for cancer be stratified and serve global health?;Anglade;Cancer,2020

Cited by 124 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading;Computational and Structural Biotechnology Journal;2024-12

2. Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review;Journal of Pathology Informatics;2024-12

4. Federated brain tumor segmentation: An extensive benchmark;Medical Image Analysis;2024-10

5. Is Histopathology Deep Learning Artificial Intelligence the Future of Precision Oncology?;Journal of Clinical Oncology;2024-09-11