RetSeg introduces a retention mechanism to enhance polyp segmentation, addressing challenges faced by Vision Transformers. The study focuses on improving accuracy and efficiency in medical imaging analysis, particularly in colonoscopy images. By integrating multi-head retention blocks into an encoder-decoder network, RetSeg aims to bridge the gap between precise segmentation and resource utilization. Training and validation are conducted on various datasets, showcasing promising performance across different public datasets. While early-stage exploration, further studies are crucial to advance these findings.
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by Khaled ELKar... pada arxiv.org 03-11-2024
https://arxiv.org/pdf/2310.05446.pdfPertanyaan yang Lebih Dalam