Genetic mutation and biological pathway prediction based on whole slide images in breast carcinoma using deep learning.
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| Title: | Genetic mutation and biological pathway prediction based on whole slide images in breast carcinoma using deep learning. |
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| Authors: | Qu H; Department of Computer Science, Rutgers University, Piscataway, NJ, USA., Zhou M; Sensebrain Research, Princeton, NJ, USA., Yan Z; Sensebrain Research, Princeton, NJ, USA., Wang H; School of Medicine, Yale University, New Haven, CT, USA., Rustgi VK; Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA., Zhang S; SenseTime Research and Shanghai AI Laboratory, Shanghai, China. zhangshaoting@sensetime.com., Gevaert O; Stanford Center for Biomedical Informatics Research (BMIR), Department of Medicine, Stanford University, Stanford, CA, USA. ogevaert@stanford.edu., Metaxas DN; Department of Computer Science, Rutgers University, Piscataway, NJ, USA. dnm@cs.rutgers.edu. |
| Source: | NPJ precision oncology [NPJ Precis Oncol] 2021 Sep 23; Vol. 5 (1), pp. 87. Date of Electronic Publication: 2021 Sep 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Nature Country of Publication: England NLM ID: 101708166 Publication Model: Electronic Cited Medium: Print ISSN: 2397-768X (Print) Linking ISSN: 2397768X NLM ISO Abbreviation: NPJ Precis Oncol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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