Article

A Cortically-Inspired Predictive Coding Framework for Polyp Segmentation

2026-04-08

Abstract excerpt

<title>Abstract</title> <p>Polyp segmentation in colonoscopy remains clinically challenging because existing deep learning models operate as feedforward systems: features are extracted, attention weights are computed, and predictions are generated in a single irreversible pass with no opportunity for revision. We propose GRAFNet, a segmentation framework that introduces three biologically inspired computational m...

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Literature Corpus work: e0b3ee8a-7298-5733-8573-017c3003b676
DOI: 10.21203/rs.3.rs-9145958/v1

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