Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks
Abstract
Precise segmentation of bladder walls and tumor regions is an essential step towards non-invasive identification of tumor stage and grade, which is critical for treatment decision and prognosis of patients with bladder cancer (BC). However, the automatic delineation of bladder walls and tumor in magnetic resonance images (MRI) is a challenging task, due to important bladder shape variations, strong intensity inhomogeneity in urine and very high...
Paper Details
Title
Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks
Published Date
May 28, 2018
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