PSHop: A Lightweight Feed-Forward Method for 3D Prostate Gland Segmentation

Author:

Yang Yijing,Magoulianitis Vasileios,Yang Jiaxin,Xue Jintang,Kaneko Masatomo,Cacciamani Giovanni,Abreu Andre,Duddalwar Vinay,Kuo C.-C. Jay,Gill Inderbir,Nikias Chrysostomos

Publisher

Elsevier BV

Reference62 articles.

1. Automatic prostate and prostate zones segmentation of magnetic resonance images using densenet-like u-net;N Aldoj;Scientific reports,2020

2. Differential segmentation of the prostate in mr images using combined 3d shape modelling and voxel classification;P D Allen;rd IEEE International Symposium on Biomedical Imaging: Nano to Macro,2006

3. Nci-isbi 2013 challenge: automated segmentation of prostate structures;N Bloch;The Cancer Imaging Archive,2015

4. Fast approximate energy minimization via graph cuts;Y Boykov;IEEE Transactions on pattern analysis and machine intelligence,2001

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