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Semi-Supervised Classification of Noisy, Gigapixel Histology Images
One of the greatest obstacles in the adoption of deep neural networks for new medical applications is that training these models typically require a large amount of manually labeled training samples. In this body of work, we investigate the semi-supervised scenario where one has access to large amou...
Uloženo v:
| Vydáno v: | Proc IEEE Int Symp Bioinformatics Bioeng |
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| Hlavní autoři: | , , , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8144886/ https://ncbi.nlm.nih.gov/pubmed/34046246 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/BIBE50027.2020.00097 |
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