Evaluating the Effectiveness of Deep Learning Contouring across Multiple Radiotherapy Centres

Evaluating the Effectiveness of Deep Learning Contouring across Multiple Radiotherapy Centres

Background and purpose: Deep learning contouring (DLC) has the potential to decrease contouring time and variability of organ contours. This work evaluates the effectiveness of DLC for prostate and head and neck across four radiotherapy centres using a commercial system. Materials and methods: Compu...

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Bibliographic Details
Main Authors: Zoe Walker, Gary Bartley, Christina Hague, Daniel Kelly, Clara Navarro, Jane Rogers, Christopher South, Simon Temple, Philip Whitehurst, Robert Chuter
Format: Article
Language:English
Published: Elsevier 2022-10-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Auto-contouring
Deep learning contouring
Multi-centre
Organs at risk
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631622000938

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http://www.sciencedirect.com/science/article/pii/S2405631622000938

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