MCCDNet: multi-level collaborative contrast decoupling medical image segmentation network

The aim of this study is to address the problem of low segmentation accuracy in medical image analysis caused by blurred tumour boundaries. We propose a Multi-level Collaborative Contrast Decoupling Network (MCCDNet) for medical image segmentation (MIS). Initially, a contrast consistency enhancement...

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Главные авторы:	Kuncai Xu, Tao Wang, Zhiqiang Zhu, Yan Chen, Ning Zhang, Maorong Li, Junhao Chen
Формат:	Artigo
Язык:	Inglês
Опубликовано:	PeerJ Inc. 2026-07-01
Серии:	PeerJ Computer Science
Предметы:	Medical image segmentation Contrast decoupling Prior knowledge Multi-level fusion
Online-ссылка:	https://peerj.com/articles/cs-4026.pdf
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