A self-supervised contrastive learning approach for whole slide image representation in digital pathology
Image analysis in digital pathology has proven to be one of the most challenging fields in medical imaging for AI-driven classification and search tasks. Due to their gigapixel dimensions, whole slide images (WSIs) are difficult to represent for computational pathology. Self-supervised learning (SSL...
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| Main Authors: | , , , , |
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| Format: | Book |
| Published: |
Elsevier,
2022-01-01T00:00:00Z.
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| Subjects: | |
| Online Access: | Connect to this object online. |
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Internet
Connect to this object online.3rd Floor Main Library
| Call Number: |
A1234.567 |
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| Copy 1 | Available |