State-of-the-art weakly supervised automated classification of prostate cancer tissue microarrays via deep learning: Can sufficient accuracy be achieved without manual patch level annotation?
| Autor: | S-R. Leyh-Bannurah, U. Wolffgang, J. Schmitz, V. Ouellet, F. Azzi, Z. Tian, B. Helmke, M. Graefen, L. Budäus, P.I. Karakiewicz, D. Trudel, F. Saad |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | European Urology Open Science, Vol 19, Iss , Pp e2013- (2020) |
| Druh dokumentu: | article |
| ISSN: | 2666-1683 |
| DOI: | 10.1016/S2666-1683(20)33954-9 |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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