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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Main Authors: | Joseph DiPalma (Author), Lorenzo Torresani (Author), Saeed Hassanpour (Author) |
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Format: | Book |
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Elsevier,
2023-01-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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