A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT

19 May 2019Sulaiman VesalNishant RavikumarAndreas Maier

Automatic segmentation of organs-at-risk (OAR) in computed tomography (CT) is an essential part of planning effective treatment strategies to combat lung and esophageal cancer. Accurate segmentation of organs surrounding tumours helps account for the variation in position and morphology inherent across patients, thereby facilitating adaptive and computer-assisted radiotherapy... (read more)

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