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Encoding Clinical Priori in 3D Convolutional Neural Networks for
  Prostate Cancer Detection in bpMRI
v1v2v3v4 (latest)

Encoding Clinical Priori in 3D Convolutional Neural Networks for Prostate Cancer Detection in bpMRI

31 October 2020
A. Saha
M. Hosseinzadeh
Henkjan Huisman
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Encoding Clinical Priori in 3D Convolutional Neural Networks for Prostate Cancer Detection in bpMRI"

11 / 11 papers shown
Title
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
M. Valiuddin
R. V. Sloun
C.G.A. Viviers
Peter H. N. de With
Fons van der Sommen
UQCV
269
1
0
25 Nov 2024
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in
  Image Segmentation
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
122
2,642
0
11 Dec 2019
Prostate cancer inference via weakly-supervised learning using a large
  collection of negative MRI
Prostate cancer inference via weakly-supervised learning using a large collection of negative MRI
Ruiming Cao
Xinran Zhong
Fabien Scalzo
S. Raman
K. Sung
MedIm
24
8
0
05 Oct 2019
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for
  prostate zonal segmentation of multi-institutional MRI datasets
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets
L. Rundo
Changhee Han
Yudai Nagano
Jin Zhang
Ryuichiro Hataya
...
M. Gilardi
Salvatore Vitabile
G. Mauri
Hideki Nakayama
P. Cazzaniga
44
234
0
17 Apr 2019
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical
  Segmentation
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation
Adrian Dalca
John Guttag
M. Sabuncu
MedImSSeg
111
147
0
07 Mar 2019
Attention Gated Networks: Learning to Leverage Salient Regions in
  Medical Images
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images
Jo Schlemper
Ozan Oktay
M. Schaap
M. Heinrich
Bernhard Kainz
Ben Glocker
Daniel Rueckert
MedIm
74
1,469
0
22 Aug 2018
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
427
26,557
0
05 Sep 2017
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
Christian Wachinger
M. Reuter
T. Klein
3DV
368
332
0
27 Feb 2017
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Özgün Çiçek
Ahmed Abdulkadir
S. Lienkamp
Thomas Brox
Olaf Ronneberger
3DV3DPCSSeg3DH
155
6,551
0
21 Jun 2016
Cyclical Learning Rates for Training Neural Networks
Cyclical Learning Rates for Training Neural Networks
L. Smith
ODL
233
2,537
0
03 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
1