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ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models

By Lev Ayzenberg and others at
LogoTel Aviv University
This work introduces a new framework, ProtoSAM, for one-shot medical image segmentation. It combines the use of prototypical networks, known for few-shot segmentation, with SAM - a natural image foundation model. The method proposed creates an initial coarse segmentation mask using the ALPnet prototypical network, augmented with a DINOv2 encoder.... Show more
July 18, 2024
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ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models
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