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A deep learning-based method for prostate segmentation in T2-weighted
  magnetic resonance imaging
v1v2 (latest)

A deep learning-based method for prostate segmentation in T2-weighted magnetic resonance imaging

27 January 2019
Davood Karimi
Golnoosh Samei
Yanan Shao
Septimiu Salcudean
ArXiv (abs)PDFHTML

Papers citing "A deep learning-based method for prostate segmentation in T2-weighted magnetic resonance imaging"

4 / 4 papers shown
Title
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
675
10,786
0
19 Feb 2017
The Importance of Skip Connections in Biomedical Image Segmentation
The Importance of Skip Connections in Biomedical Image Segmentation
M. Drozdzal
Eugene Vorontsov
Gabriel Chartrand
Samuel Kadoury
C. Pal
MedIm
81
1,047
0
14 Aug 2016
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
232
4,178
0
17 May 2015
PCG-Cut: Graph Driven Segmentation of the Prostate Central Gland
PCG-Cut: Graph Driven Segmentation of the Prostate Central Gland
Jan Egger
41
41
0
12 Oct 2013
1