Author:
Kosaraju Sai Chandra,Hao Jie,Koh Hyun Min,Kang Mingon
Funder
Ministry of Science, ICT, Korea
Institute for Information & Communications Technology Planning & Evaluation
Subject
General Biochemistry, Genetics and Molecular Biology,Molecular Biology
Reference41 articles.
1. M.Z. Alom, T. Aspiras, T.M. Taha, V.K. Asari, T. Bowen, D. Billiter, S. Arkell, Advanced deep convolutional neural network approaches for digital pathology image analysis: a comprehensive evaluation with different use cases, , 2019.
2. A multi-resolution deep learning framework for lung adenocarcinoma growth pattern classification;Alsubaie,2018
3. A.D. Belsare, M.M. Mushrif, M.A. Pangarkar, N. Meshram, Classification of breast cancer histopathology images using texture feature analysis, in: TENCON 2015–2015 IEEE Region 10 Conference, 2015, pp. 1–5.
4. Artificial intelligence in digital pathology – new tools for diagnosis and precision oncology;Bera;Nat. Rev. Clin. Oncol.,2019
5. G. Campanella, M.G. Hanna, L. Geneslaw, et al., Clinical-grade computational pathology using weakly supervised deep learning on whole slide images, 2019.
Cited by
41 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