Training nuclei detection algorithms with simple annotations
Background: Generating good training datasets is essential for machine learning-based nuclei detection methods. However, creating exhaustive nuclei contour annotations, to derive optimal training data from, is often infeasible. Methods: We compared different approaches for training nuclei detection...
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| Main Authors: | , , , , |
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| Format: | Book |
| Published: |
Elsevier,
2017-01-01T00:00:00Z.
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| Subjects: | |
| Online Access: | Connect to this object online. |
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