CNN-Transformer-Based Lesion and Organ Segmentation Network for Electronic Laryngoscope

In electronic laryngoscopy, the variable morphology of lesions and organs, along with unclear boundaries between lesions, organs, and mucosal tissues, leads to unsatisfactory accuracy in image segmentation of lesions and major laryngeal organs. To address this problem, a CNN-Transformer two-stream h...

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Bibliographic Details

Published in:	Jisuanji gongcheng
Main Author:	LI Baiya
Format:	Article
Language:	English
Published:	Editorial Office of Computer Engineering 2025-06-01
Subjects:	electronic laryngoscope|image segmentation|hybrid two-stream network|multi-level feature fusion|dark feature enhancement
Online Access:	https://www.ecice06.com/fileup/1000-3428/PDF/20250632.pdf