Article

Automatic Segmentation of Clinical Target Volume and Organs-At-Risk for Breast Conservative Radiotherapy Using a Convolutional Neural Network

2021-06-02

Abstract excerpt

<title>Abstract</title> <p><bold>Background and Objective: </bold>Delineation of the clinical target volume (CTV) and organs at risk (OARs) is very important for radiotherapy but is time-consuming and prone to inter- and intra-observer variation. We trained and evaluated a U-Net-based model to provide fast and consistent auto-segmentation for breast cancer radiotherapy. <bold>Methods:</bold> We collected 160 pati...

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Literature Corpus work: 62cfa4a9-3ef9-5850-9e73-d5d2b61aa399
DOI: 10.21203/rs.3.rs-535967/v1

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