Automatic detection of contouring errors using convolutional neural networks-Reference-Cited by-同舟云学术

Automatic detection of contouring errors using convolutional neural networks

Published:2019-09-26 Issue:11 Volume:46 Page:5086-5097
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Rhee Dong Joo¹²,Cardenas Carlos E.²,Elhalawani Hesham³,McCarroll Rachel⁴,Zhang Lifei²,Yang Jinzhong²,Garden Adam S.³,Peterson Christine B.⁵,Beadle Beth M.⁶,Court Laurence E.²

Affiliation:

1. The University of Texas Graduate School of Biomedical Sciences at Houston Houston TX 77030USA

2. Department of Radiation Physics Division of Radiation Oncology The University of Texas MD Anderson Cancer Center Houston TX 77030USA

3. Department of Radiation Oncology Division of Radiation Oncology The University of Texas MD Anderson Cancer Center Houston TX 77030USA

4. Department of Radiation Oncology The University of Maryland Medical System Baltimore MD 21201USA

5. Department of Biostatistics Division of Basic Sciences The University of Texas MD Anderson Cancer Center Houston TX 77030USA

6. Department of Radiation Oncology Stanford University School of Medicine Stanford CA 94305USA

Funder

National Institutes of Health

National Cancer Institute

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.13814

Reference38 articles.

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2. Contouring workload in adjuvant breast cancer radiotherapy

3. Intra- and inter-observer variability in contouring prostate and seminal vesicles: implications for conformal treatment planning

4. Interobserver variation in clinical target volume and organs at risk segmentation in post-parotidectomy radiotherapy: can segmentation protocols help?

5. 3D Variation in delineation of head and neck organs at risk

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