Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes

Fuente: arXiv

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Bibliographic Details
Main Authors:	Sinhamahapatra, Poulami, Shit, Suprosanna, Sekuboyina, Anjany, Husseini, Malek, Schinz, David, Lenhart, Nicolas, Menze, Joern, Kirschke, Jan, Roscher, Karsten, Guennemann, Stephan
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2404.02830