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2304.04077
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Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations
8 April 2023
Daniel Flores-Araiza
F. Lopez-Tiro
Jonathan El Beze
Jacques Hubert
M. González-Mendoza
G. Ochoa-Ruiz
C. Daul
MedIm
OOD
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Papers citing
"Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations"
2 / 2 papers shown
Title
On the in vivo recognition of kidney stones using machine learning
F. Lopez-Tiro
V. Estrade
Jacques Hubert
Daniel Flores-Araiza
M. González-Mendoza
Gilberto Ochoa
C. Daul
27
27
0
21 Jan 2022
Interpretable Image Classification with Differentiable Prototypes Assignment
Dawid Rymarczyk
Lukasz Struski
Michal Górszczak
K. Lewandowska
Jacek Tabor
Bartosz Zieliñski
31
98
0
06 Dec 2021
1