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For: Truong AH, Sharmanska V, Limbӓck-Stanic C, Grech-Sollars M. Optimization of deep learning methods for visualization of tumor heterogeneity and brain tumor grading through digital pathology. Neurooncol Adv 2020;2:vdaa110. [PMID: 33196039 DOI: 10.1093/noajnl/vdaa110] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Oliveira SP, Neto PC, Fraga J, Montezuma D, Monteiro A, Monteiro J, Ribeiro L, Gonçalves S, Pinto IM, Cardoso JS. CAD systems for colorectal cancer from WSI are still not ready for clinical acceptance. Sci Rep 2021;11:14358. [PMID: 34257363 DOI: 10.1038/s41598-021-93746-z] [Reference Citation Analysis]
2 Komori T. AI Neuropathologist: an innovative technology enabling a faultless pathological diagnosis? Neuro Oncol 2021;23:1-2. [PMID: 33059363 DOI: 10.1093/neuonc/noaa229] [Reference Citation Analysis]
3 Im S, Hyeon J, Rha E, Lee J, Choi HJ, Jung Y, Kim TJ. Classification of Diffuse Glioma Subtype from Clinical-Grade Pathological Images Using Deep Transfer Learning. Sensors (Basel) 2021;21:3500. [PMID: 34067934 DOI: 10.3390/s21103500] [Reference Citation Analysis]