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Bladder wall segmentation using U-net based deep learning

Published in Medical Imaging 2020: Computer-Aided Diagnosis • Mar 16, 2020
Authors:
Michael I. Ivanitskiy
,
Lubomir Hadjiyski
,
Heang‐Ping Chan

Abstract

We are developing a deep learning based U-Net (U-DL) model for bladder wall segmentation in CT urography (CTU) as a component of a computer-assisted pipeline for bladder cancer detection and treatment response assessment. This task is challenging due to variations in size and shape of the wall among...

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