Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration
The prowess that makes few-shot learning desirable in medical image analysis is the efficient use of the support image data, which are labelled to classify or segment new classes, a task that otherwise requires substantially more training images and expert annotations. This work describes a fully 3D...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Internet publication |
| Language: | English |
| Published: |
arXiv
2022
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