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Automatic Semantic Segmentation of the Lumbar Spine: Clinical
  Applicability in a Multi-parametric and Multi-centre Study on Magnetic
  Resonance Images

Automatic Semantic Segmentation of the Lumbar Spine: Clinical Applicability in a Multi-parametric and Multi-centre Study on Magnetic Resonance Images

16 November 2021
J. J. Sáenz-Gamboa
J. Domenech
Antonio Alonso-Manjarrés
Jon A. Gómez
Human Language Technology research center - Universitat Valencia
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Papers citing "Automatic Semantic Segmentation of the Lumbar Spine: Clinical Applicability in a Multi-parametric and Multi-centre Study on Magnetic Resonance Images"

3 / 3 papers shown
Title
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
387
10,661
0
19 Feb 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
484
15,675
0
02 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust
  Semantic Pixel-Wise Labelling
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling
Vijay Badrinarayanan
Ankur Handa
R. Cipolla
SSeg
169
793
0
27 May 2015
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