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Self-supervised learning mechanism for identification of eyelid malignant melanoma in pathologic slides with limited annotation
PURPOSE: The lack of finely annotated pathologic data has limited the application of deep learning systems (DLS) to the automated interpretation of pathologic slides. Therefore, this study develops a robust self-supervised learning (SSL) pathology diagnostic system to automatically detect malignant...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550873/ https://www.ncbi.nlm.nih.gov/pubmed/36237543 http://dx.doi.org/10.3389/fmed.2022.976467 |