Combining Images and T-Staging Information to Improve the Automatic Segmentation of Nasopharyngeal Carcinoma Tumors in MR Images

Combining Images and T-Staging Information to Improve the Automatic Segmentation of Nasopharyngeal Carcinoma Tumors in MR Images

The accurate and reproducible delineation of tumors from uninvolved tissue is essential for radiation oncology. However, the tumor margin may be challenging to identify from magnetic resonance (MR) images of nasopharyngeal carcinomas (NPCs). Additionally, clinical diagnoses such as T-staging may alr...

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Bibliographic Details
Main Authors: Mingwei Cai, Jiazhou Wang, Qing Yang, Ying Guo, Zhen Zhang, Hongmei Ying, Weigang Hu, Chaosu Hu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep learning
magnetic resonance images
autosegmentation
nasopharyngeal carcinoma
Online Access:https://ieeexplore.ieee.org/document/9343831/

Internet

https://ieeexplore.ieee.org/document/9343831/

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