Efficient Multi-Stage Self-Supervised Learning for Pathology Image Analysis via Masking
Annotated large-scale datasets are crucial for pathology image analysis, yet creating such datasets is challenging. Self-supervised learning (SSL) offers a potential solution to reduce the need for extensive annotations. However, applying SSL methods designed for natural images directly to pathology...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10946126/ |
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