RootPainter3D: Interactive‐machine‐learning enables rapid and accurate contouring for radiotherapy-Reference-Cited by-同舟云学术

RootPainter3D: Interactive‐machine‐learning enables rapid and accurate contouring for radiotherapy

Published:2021-12-10 Issue:1 Volume:49 Page:461-473
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

Smith Abraham George¹²,Petersen Jens¹²,Terrones‐Campos Cynthia²³,Berthelsen Anne Kiil²⁴,Forbes Nora Jarrett¹²,Darkner Sune¹,Specht Lena²,Vogelius Ivan Richter²⁵

Affiliation:

1. Department of Computer Science University of Copenhagen Copenhagen Denmark

2. Department of Oncology Rigshospitalet University of Copenhagen Copenhagen Denmark

3. Department of Infectious Diseases Rigshospitalet University of Copenhagen Copenhagen Denmark

4. Department of Clinical Physiology Rigshospitalet University of Copenhagen Copenhagen Denmark

5. Department of Health and Medical Sciences University of Copenhagen Copenhagen Denmark

Funder

Varian Medical Systems

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15353

Reference66 articles.

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5. Clinically applicable deep learning framework for organs at risk delineation in CT images

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