A dual deep neural network for auto-delineation in cervical cancer radiotherapy with clinical validation

A dual deep neural network for auto-delineation in cervical cancer radiotherapy with clinical validation

Abstract Background Artificial intelligence (AI) algorithms are capable of automatically detecting contouring boundaries in medical images. However, the algorithms impact on clinical practice of cervical cancer are unclear. We aimed to develop an AI-assisted system for automatic contouring of the cl...

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Bibliographic Details
Main Authors: Shihong Nie, Yuanfeng Wei, Fen Zhao, Ya Dong, Yan Chen, Qiaoqi Li, Wei Du, Xin Li, Xi Yang, Zhiping Li
Format: Article
Language:English
Published: BMC 2022-11-01
Series:Radiation Oncology
Subjects:
Cervical cancer radiotherapy
Clinical target volume auto-segmentation
Organs-at-risk auto-segmentation
Artificial intelligence-assisted system
Online Access:https://doi.org/10.1186/s13014-022-02157-5

Internet

https://doi.org/10.1186/s13014-022-02157-5

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