Article

PolySAM-Lite: Parameter-efficient adaptation of the Segment Anything Model for colorectal polyp segmentation

2026-03-03

Abstract excerpt

<title>Abstract</title> <p>Colorectal cancer is a leading cause of global cancer mortality, where early detection and segmentation of polyps during colonoscopy are critical for survival. While Vision Foundation Models like the Segment Anything Model (SAM) demonstrate exceptional zero-shot generalization, their massive computational footprint hinders deployment in resource-constrained clinical settings. To bridge...

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Literature Corpus work: 1a16210c-ef5e-5246-a3a7-c0fe1f8c6cb9
DOI: 10.21203/rs.3.rs-8662498/v1

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