SMF-net: semantic-guided multimodal fusion network for precise pancreatic tumor segmentation in medical CT image

SMF-net: semantic-guided multimodal fusion network for precise pancreatic tumor segmentation in medical CT image

BackgroundAccurate and automated segmentation of pancreatic tumors from CT images via deep learning is essential for the clinical diagnosis of pancreatic cancer. However, two key challenges persist: (a) complex phenotypic variations in pancreatic morphology cause segmentation models to focus predomi...

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Bibliographic Details
Main Authors: Wenyi Zhou, Ziyang Shi, Bin Xie, Fang Li, Jiehao Yin, Yongzhong Zhang, Linan Hu, Lin Li, Yongming Yan, Xiajun Wei, Zhen Hu, Zhengmao Luo, Wanxiang Peng, Xiaochun Xie, Xiaoli Long
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Oncology
Subjects:
medical image segmentation
multimodal feature fusion
semi-supervised learning
convolution transformer-based network
pancreatic tumor detection
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1622426/full
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https://www.frontiersin.org/articles/10.3389/fonc.2025.1622426/full

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