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An End-to-end Approach to Semantic Segmentation with 3D CNN and
  Posterior-CRF in Medical Images

An End-to-end Approach to Semantic Segmentation with 3D CNN and Posterior-CRF in Medical Images

8 November 2018
Shuai Chen
Marleen de Bruijne
    MedIm
ArXivPDFHTML

Papers citing "An End-to-end Approach to Semantic Segmentation with 3D CNN and Posterior-CRF in Medical Images"

3 / 3 papers shown
Title
A survey on shape-constraint deep learning for medical image
  segmentation
A survey on shape-constraint deep learning for medical image segmentation
Simon Bohlender
Ilkay Oksuz
Anirban Mukhopadhyay
3DV
21
34
0
19 Jan 2021
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
16
751
0
27 Aug 2019
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
DeepNAT: Deep Convolutional Neural Network for Segmenting Neuroanatomy
Christian Wachinger
M. Reuter
T. Klein
3DV
40
330
0
27 Feb 2017
1