Article

Enhancing Medical Image Segmentation through Negative Sample Integration: A Study on Kvasir-SEG and Augmented Datasets

2025-10-14

Abstract excerpt

Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide, with early and accurate detection being critical for improving patient outcomes. Automated image segmentation using deep learning has emerged as a transformative tool for identifying colorectal abnormalities in medical imaging. This study conducts a comparative analysis of three prominent deep learning architectures—U-Net, SegNe...

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Literature Corpus work: 8d3c7d5d-25bf-5f49-ba51-f78f808ab115
DOI: 10.1101/2025.10.14.682445

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Enhancing Medical Image Segmentation through Negative Sample Integration: A Study on Kvasir-SEG and Augmented DatasetsDOI 10.1101/2025.10.14.682445Read

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