Automatic bladder segmentation from CT images using deep CNN and 3D fully connected CRF-RNN

International Journal of Computer Assisted Radiology and Surgery
Xuanang XuBo Liu


Automatic approach for bladder segmentation from computed tomography (CT) images is highly desirable in clinical practice. It is a challenging task since the bladder usually suffers large variations of appearance and low soft-tissue contrast in CT images. In this study, we present a deep learning-based approach which involves a convolutional neural network (CNN) and a 3D fully connected conditional random fields recurrent neural network (CRF-RNN) to perform accurate bladder segmentation. We also propose a novel preprocessing method, called dual-channel preprocessing, to further advance the segmentation performance of our approach. The presented approach works as following: first, we apply our proposed preprocessing method on the input CT image and obtain a dual-channel image which consists of the CT image and an enhanced bladder density map. Second, we exploit a CNN to predict a coarse voxel-wise bladder score map on this dual-channel image. Finally, a 3D fully connected CRF-RNN refines the coarse bladder score map and produce final fine-localized segmentation result. We compare our approach to the state-of-the-art V-net on a clinical dataset. Results show that our approach achieves superior segmentation accuracy, outperforming...Continue Reading


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Feb 9, 2019·Medical Physics·Xiangyuan MaYao Lu


Nov 19, 2003·Neural Networks : the Official Journal of the International Neural Network Society·Rolf Kötter, Klaas E Stephan
Dec 7, 2007·Medical Image Computing and Computer-assisted Intervention : MICCAI·María Jimena CostaNicholas Ayache
Mar 1, 2014·Medical Image Computing and Computer-assisted Intervention : MICCAI·Adhish PrasoonMads Nielsen
Oct 22, 2014·Medical Image Computing and Computer-assisted Intervention : MICCAI·Holger R RothRonald M Summers
Mar 10, 2016·IEEE Transactions on Medical Imaging·Arnaud Arindra Adiyoso SetioBram van Ginneken
Jun 1, 2016·IEEE Transactions on Pattern Analysis and Machine Intelligence·Evan ShelhamerTrevor Darrell
Nov 20, 2016·Medical Image Analysis·Konstantinos KamnitsasBen Glocker
May 4, 2017·IEEE Transactions on Pattern Analysis and Machine Intelligence·Liang-Chieh ChenAlan L Yuille

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