Segmentation of organs-at-risk in cervical cancer CT images with a convolutional neural network-Reference-Cited by-同舟云学术

Segmentation of organs-at-risk in cervical cancer CT images with a convolutional neural network

Published:2020-01 Issue: Volume:69 Page:184-191
ISSN:1120-1797
Container-title:Physica Medica
language:en
Short-container-title:Physica Medica

Author:

Liu Zhikai^ORCID,Liu Xia^ORCID,Xiao Bin,Wang Shaobin,Miao Zheng,Sun Yuliang,Zhang Fuquan^ORCID

Publisher

Elsevier BV

Subject

General Physics and Astronomy,Radiology Nuclear Medicine and imaging,General Medicine,Biophysics

Reference68 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Bray;CA Cancer J Clin,2018

2. The role of radiotherapy in cancer treatment: estimating optimal utilization from a review of evidence-based clinical guidelines;Delaney;Cancer,2005

3. Systematic evaluation of atlas-based auto segmentation (ABAS) software for adaptive radiation therapy in cervical cancer;Chen;China J Radio Med print,2015

4. Conformal radiotherapy planning of cervix carcinoma: differences in the delineation of the clinical target volume: a comparison between gynaecologic and radiation oncologists;Weiss;Radiother Oncol,2003

5. Inter-observer variability in the delineation of pharyngo-laryngeal tumor, parotid glands and cervical spinal cord: comparison between CT-scan and MRI;Geets;Radiother Oncol,2005

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