Comparing deep learning-based auto-segmentation of organs at risk and clinical target volumes to expert inter-observer variability in radiotherapy planning.

CONCLUSIONS: The accuracy of DCs trained by a single RO is comparable to expert inter-observer variability for the RT planning contours in this study. Use of deep learning-based auto-segmentation in clinical practice will likely lead to significant benefits to RT planning workflow and resources. PMID: 31812930 [PubMed - as supplied by publisher]

https://www.ncbi.nlm.nih.gov/pubmed/31812930?dopt=Abstract

Source: Radiotherapy and Oncology : journal of the European Society for Therapeutic Radiology and Oncology - December 4, 2019 Category: Radiology Authors: Wong J, Fong A, McVicar N, Smith S, Giambattista J, Wells D, Kolbeck C, Giambattista J, Gondara L, Alexander A Tags: Radiother Oncol Source Type: research