Development and Validation of a Deep Learning Algorithm for Auto-delineation of Clinical Target Volume and Organs at Risk in Cervical Cancer Radiotherapy.

CONCLUSION: The experimental results demonstrate that the CTV and OARs delineated for cervical cancer by DpnUNet was in close agreement with the ground truth. DpnUNet could significantly reduce the radiation oncologists' contouring time. PMID: 33039424 [PubMed - as supplied by publisher]

https://www.ncbi.nlm.nih.gov/pubmed/33039424?dopt=Abstract

Source: Radiotherapy and Oncology : journal of the European Society for Therapeutic Radiology and Oncology - October 8, 2020 Category: Radiology Authors: Liu Z, Liu X, Guan H, Zhen H, Sun Y, Chen Q, Chen Y, Wang S, Qiu J Tags: Radiother Oncol Source Type: research