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GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network

GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network

22 May 2017
Florian Dubost
Gerda Bortsova
H. Adams
M. Ikram
W. Niessen
Meike W. Vernooij
Marleen De Bruijne
    MedIm
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Papers citing "GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network"

4 / 4 papers shown
Title
Medical Image Segmentation Review: The success of U-Net
Medical Image Segmentation Review: The success of U-Net
Reza Azad
Ehsan Khodapanah Aghdam
Amelie Rauland
Yiwei Jia
Atlas Haddadi Avval
Afshin Bozorgpour
Sanaz Karimijafarbigloo
Joseph Paul Cohen
Ehsan Adeli
Dorit Merhof
SSeg
28
265
0
27 Nov 2022
TorchEsegeta: Framework for Interpretability and Explainability of
  Image-based Deep Learning Models
TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models
S. Chatterjee
Arnab Das
Chirag Mandal
Budhaditya Mukhopadhyay
Manish Vipinraj
Aniruddh Shukla
R. Rao
Chompunuch Sarasaen
Oliver Speck
A. Nürnberger
MedIm
37
14
0
16 Oct 2021
Automated Lesion Detection by Regressing Intensity-Based Distance with a
  Neural Network
Automated Lesion Detection by Regressing Intensity-Based Distance with a Neural Network
K. V. Wijnen
Florian Dubost
P. Yilmaz
M. Ikram
W. Niessen
H. Adams
Meike W. Vernooij
Marleen de Bruijne
MedIm
27
17
0
29 Jul 2019
Not-so-supervised: a survey of semi-supervised, multi-instance, and
  transfer learning in medical image analysis
Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
V. Cheplygina
Marleen de Bruijne
J. Pluim
16
745
0
17 Apr 2018
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