Clinical evaluation on automatic segmentation results of convolutional neural networks in rectal cancer radiotherapy

Clinical evaluation on automatic segmentation results of convolutional neural networks in rectal cancer radiotherapy

PurposeImage segmentation can be time-consuming and lacks consistency between different oncologists, which is essential in conformal radiotherapy techniques. We aimed to evaluate automatic delineation results generated by convolutional neural networks (CNNs) from geometry and dosimetry perspectives...

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Bibliographic Details
Main Authors: Jing Li, Ying Song, Yongchang Wu, Lan Liang, Guangjun Li, Sen Bai
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Oncology
Subjects:
automatic segmentation
deep learning
rectal neoplasms
radiotherapy
CNN
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1158315/full

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https://www.frontiersin.org/articles/10.3389/fonc.2023.1158315/full

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