most citedPrototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration

3 citations · 3 across the 3 of their papers we have counts for

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eess.IV2024

Semi-weakly-supervised neural network training for medical image registration

Yiwen Li, Yunguan Fu, Iani J. M. B. Gayo +11

For training registration networks, weak supervision from segmented corresponding regions-of-interest (ROIs) have been proven effective for (a) supplementing unsupervised methods,…

eess.IV2022★ 3 cited

Prototypical few-shot segmentation for cross-institution male pelvic structures with spatial registration

Yiwen Li, Yunguan Fu, Iani Gayo +12

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,…