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gynecological-image-segmentation

topic1 events
papersSEP 11 04:00 UTC

Depth-Wise Analysis of Forgetting in Continual Gynecological Image Segmentation

A new arXiv paper examines where and how much neural networks forget when trained sequentially on gynecological medical imaging tasks. The authors analyze forgetting layer by layer to identify which parts of a segmentation model should be preserved and which can be adapted. The work targets scenarios where consecutive clinical tasks vary in imaging modality and anatomy.

medical-imaging/continual-learning/segmentation/research