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Interactive Medical Image Segmentation using Deep Learning with
  Image-specific Fine-tuning

Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning

11 October 2017
Guotai Wang
Wenqi Li
Maria A. Zuluaga
R. Pratt
P. Patel
Michael Aertsen
T. Doel
A. David
Jan Deprest
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
ArXivPDFHTML

Papers citing "Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning"

6 / 56 papers shown
Title
Crossbar-Net: A Novel Convolutional Network for Kidney Tumor
  Segmentation in CT Images
Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images
Qian Yu
Yinghuan Shi
Jinquan Sun
Yang Gao
Yakang Dai
Jianbing Zhu
27
97
0
27 Apr 2018
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with
  Bayesian Deep Learning
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning
T. Vandal
E. Kodra
Jennifer Dy
S. Ganguly
R. Nemani
A. Ganguly
UQCV
BDL
27
52
0
13 Feb 2018
Joint registration and synthesis using a probabilistic model for
  alignment of MRI and histological sections
Joint registration and synthesis using a probabilistic model for alignment of MRI and histological sections
Juan Eugenio Iglesias
Marc Modat
L. Peter
A. Stevens
R. Annunziata
Tom Kamiel Magda Vercauteren
E. Lein
Bruce Fischl
Sebastien Ourselin
14
26
0
16 Jan 2018
Automatic segmentation method of pelvic floor levator hiatus in
  ultrasound using a self-normalising neural network
Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network
E. Bonmati
Yipeng Hu
Nikhil Sindhwani
H. Dietz
Jan D'hooge
D. Barratt
Jan Deprest
Tom Kamiel Magda Vercauteren
29
30
0
18 Dec 2017
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
307
10,621
0
19 Feb 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
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