Automated Colorectal Polyps Detection from Endoscopic Images using MultiResUNet Framework with Attention Guided Segmentation

Abstract The early detection of colorectal polyps is crucial for the reduction of mortality rates. However, manually identifying polyps is time-consuming and expensive, increasing the risk of missing them. Our paper aims to address this issue by presenting an automated segmentation approach for colo...

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Bibliografski detalji

Glavni autori:	Md. Faysal Ahamed, Md. Rabiul Islam, Md. Nahiduzzaman, Muhammad E. H. Chowdhury, Abdulrahman Alqahtani, M. Murugappan
Format:	Artigo
Jezik:	Inglês
Izdano:	Springer Nature 2024-04-01
Serija:	Human-Centric Intelligent Systems
Teme:	Colonoscopy Polyp Attention gate MultiResUNet Test Time Augmentation (TTA) Segmentation
Online pristup:	https://doi.org/10.1007/s44230-024-00067-1
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