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Enhancing Interpretability of Vertebrae Fracture Grading using
  Human-interpretable Prototypes

Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes

3 April 2024
Poulami Sinhamahapatra
Suprosanna Shit
Anjany Sekuboyina
M. Husseini
D. Schinz
Nicolas Lenhart
Bjoern H. Menze
Jan Kirschke
Karsten Roscher
Stephan Guennemann
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Papers citing "Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes"

1 / 1 papers shown
Title
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
247
36,356
0
25 Aug 2016
1