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A survey on shape-constraint deep learning for medical image
  segmentation

A survey on shape-constraint deep learning for medical image segmentation

19 January 2021
Simon Bohlender
Ilkay Oksuz
Anirban Mukhopadhyay
    3DV
ArXivPDFHTML

Papers citing "A survey on shape-constraint deep learning for medical image segmentation"

6 / 6 papers shown
Title
Source-Free Unsupervised Domain Adaptation with Norm and Shape
  Constraints for Medical Image Segmentation
Source-Free Unsupervised Domain Adaptation with Norm and Shape Constraints for Medical Image Segmentation
Satoshi Kondo
OOD
31
4
0
03 Sep 2022
A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis
A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis
M. C. Fiorentino
Francesca Pia Villani
M. D. Cosmo
Emanuele Frontoni
S. Moccia
21
101
0
28 Jan 2022
Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous
  Prediction of Shape and Pose Parameters
Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous Prediction of Shape and Pose Parameters
Sofie Tilborghs
T. Dresselaers
P. Claus
J. Bogaert
F. Maes
14
10
0
18 Oct 2020
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
Christian Wachinger
M. Reuter
T. Klein
3DV
31
330
0
27 Feb 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
286
10,613
0
19 Feb 2017
Deep Active Contours
Deep Active Contours
Christian Rupprecht
Elizabeth Huaroc
Maximilian Baust
Nassir Navab
205
64
0
18 Jul 2016
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