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Shallow vs deep learning architectures for white matter lesion
  segmentation in the early stages of multiple sclerosis

Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis

10 September 2018
Francesco La Rosa
M. J. Fartaria
T. Kober
J. Richiardi
Cristina Granziera
Jean-Philippe Thiran
Meritxell Bach Cuadra
ArXivPDFHTML

Papers citing "Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis"

2 / 2 papers shown
Title
Applications of Deep Learning Techniques for Automated Multiple
  Sclerosis Detection Using Magnetic Resonance Imaging: A Review
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review
A. Shoeibi
Marjane Khodatars
M. Jafari
Parisa Moridian
Mitra Rezaei
...
Juan M Gorriz
Jónathan Heras
M. Panahiazar
S. Nahavandi
U. Acharya
34
125
0
11 May 2021
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised
  CNN-Based Methods
Multiple Sclerosis Lesion Segmentation -- A Survey of Supervised CNN-Based Methods
H. Zhang
I. Oguz
30
14
0
12 Dec 2020
1