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WITHDRAWN: Hybrid Attention U-Net++ with EfficientNet-B3 Encoder for Automatic Polyp Segmentation in Colonoscopy Images

2025-12-30

Abstract excerpt

<title>Abstract</title> <p>CRC is ranked among the most common and deadly cancer in all parts of the globe and early identification of colorectal polyps is an essential stage in the prevention of malignant transformation. Yet, there are cases that the human eye in colonoscopy is subjective and prone to error, and thus missed areas of polyps are diagnosed. In this effort, I introduce a hybrid deep learning model,...

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Literature Corpus work: 3577fdda-c60f-55e0-a403-e7e8666f0e2a
DOI: 10.21203/rs.3.rs-8420839/v1

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