Artificial Intelligence Radiotherapy Planning: Automatic Segmentation of Human Organs in CT Images Based on a Modified Convolutional Neural Network

Artificial Intelligence Radiotherapy Planning: Automatic Segmentation of Human Organs in CT Images Based on a Modified Convolutional Neural Network

Objective:Precise segmentation of human organs and anatomic structures (especially organs at risk, OARs) is the basis and prerequisite for the treatment planning of radiation therapy. In order to ensure rapid and accurate design of radiotherapy treatment planning, an automatic organ segmentation tec...

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Bibliographic Details
Main Authors: Guosheng Shen, Xiaodong Jin, Chao Sun, Qiang Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Public Health
Subjects:
convolutional neural network (CNN)
human organs
CT images
automatic segmentation
Dice similarity coefficient (DSC)
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2022.813135/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2022.813135/full

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