Clinical implementation of deep-learning based auto-contouring tools–Experience of three French radiotherapy centers
Abstract
Deep-learning (DL)-based auto-contouring solutions have recently been proposed as a convincing alternative to decrease workload of target volumes and organs-at-risk (OAR) delineation in radiotherapy planning and improve inter-observer consistency. However, there is minimal literature of clinical implementations of such algorithms in a clinical routine. In this paper we first present an update of the state-of-the-art of DL-based solutions. We...
Paper Details
Title
Clinical implementation of deep-learning based auto-contouring tools–Experience of three French radiotherapy centers
Published Date
Oct 1, 2021
Journal
Volume
25
Issue
6-7
Pages
607 - 616
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