Dynamic‐Guided Diffusion Probability Model for Cranial Nerves Segmentation

The overall network model effectively integrates multimodal information and anatomical priors by combining multi-channel attention and non-local attention mechanisms, thereby improving CNs segmentation performance. Thorough comparative and ablation studies highlight the superior performance of the proposed method.

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Publication Details

Journal
Magnetic Resonance in Medicine
Published
2025-12-22
DOI
https://doi.org/10.1002/mrm.70191
Primary Topic
Head and Neck Surgical Oncology
Type
article
Field-Weighted Citation Impact
0.00
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article

Dynamic‐Guided Diffusion Probability Model for Cranial Nerves Segmentation

Yiang Pan, Qingrun Zeng, Yongqiang Li, Jiawei Zhang et al.
Magnetic Resonance in Medicine
Head and Neck Surgical Oncology
article

Dynamic‐Guided Diffusion Probability Model for Cranial Nerves Segmentation

Yiang Pan, Qingrun Zeng, Yongqiang Li, Jiawei Zhang, Lei Xie, Jianzhong He, Yuanjing Feng, Jiahao Huang
article en

Abstract

The overall network model effectively integrates multimodal information and anatomical priors by combining multi-channel attention and non-local attention mechanisms, thereby improving CNs segmentation performance. Thorough comparative and ablation studies highlight the superior performance of the proposed method.

Magnetic Resonance in MedicineVol. 95(5)
Zhejiang University of Technology (CN)
Openalex Percentile: Top 27%
Head and Neck Surgical Oncology
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