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A Comparative Study of Existing and New Deep Learning Methods for
  Detecting Knee Injuries using the MRNet Dataset

A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset

5 October 2020
David Azcona
Kevin McGuinness
Alan F. Smeaton
    MedIm
ArXiv (abs)PDFHTML

Papers citing "A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset"

2 / 2 papers shown
Title
Optimising Knee Injury Detection with Spatial Attention and Validating
  Localisation Ability
Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability
Niamh Belton
I. Welaratne
Adil Dahlan
Ron Hearne
Misgina Tsighe Hagos
Aonghus Lawlor
Kathleen M. Curran
54
13
0
18 Aug 2021
Semi-supervised classification of radiology images with NoTeacher: A
  Teacher that is not Mean
Semi-supervised classification of radiology images with NoTeacher: A Teacher that is not Mean
Balagopal Unnikrishnan
C. Nguyen
Shafa Balaram
Chao Li
Chuan-Sheng Foo
Pavitra Krishnaswamy
47
8
0
10 Aug 2021
1