Dual-Attention-Based Enhanced Unified Net for Precise GTV Segmentation of Nasopharyngeal Carcinoma in 3D MR Images

Dual-Attention-Based Enhanced Unified Net for Precise GTV Segmentation of Nasopharyngeal Carcinoma in 3D MR Images

Accurate gross tumor volume (GTV) segmentation is essential for effective radiotherapy in nasopharyngeal carcinoma (NPC). However, challenges arise due to the nasopharyngeal region’s complex anatomy and the annotated data scarcity. Our study presents a dual-attention-based enhanced unifie...

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Bibliographic Details
Main Authors: Hassan Ali Khan, Gong Xueqing, Muhammad Shoib Amin, Zeeshan Bin Siddique, Muhammad Ahtsam Naeem
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Segmentation
medical imaging
NPC
neural networks
U-Net
deep learning
Online Access:https://ieeexplore.ieee.org/document/11037670/
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https://ieeexplore.ieee.org/document/11037670/

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