Deciphering serous ovarian carcinoma histopathology and platinum response by convolutional neural networks.
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| Title: | Deciphering serous ovarian carcinoma histopathology and platinum response by convolutional neural networks. |
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| Authors: | Yu KH; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. Kun-Hsing_Yu@hms.harvard.edu.; Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA. Kun-Hsing_Yu@hms.harvard.edu., Hu V; Department of Bioengineering, University of California San Diego, San Diego, CA, USA., Wang F; Department of Electrical Engineering, Stanford University, Stanford, CA, USA., Matulonis UA; Division of Gynecologic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA., Mutter GL; Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA., Golden JA; Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA., Kohane IS; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. Isaac_Kohane@hms.harvard.edu. |
| Source: | BMC medicine [BMC Med] 2020 Aug 18; Vol. 18 (1), pp. 236. Date of Electronic Publication: 2020 Aug 18. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 101190723 Publication Model: Electronic Cited Medium: Internet ISSN: 1741-7015 (Electronic) Linking ISSN: 17417015 NLM ISO Abbreviation: BMC Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1741-7015 |
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| DOI: | 10.1186/s12916-020-01684-w |
