HistoPerm: A permutation-based view generation approach for improving histopathologic feature representation learning
Deep learning has been effective for histology image analysis in digital pathology. However, many current deep learning approaches require large, strongly- or weakly labeled images and regions of interest, which can be time-consuming and resource-intensive to obtain. To address this challenge, we pr...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2023-01-01
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| coleção: | Journal of Pathology Informatics |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S2153353923001347 |
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