On the Link Between Model Performance and Causal Scoring of Medical Image Explanations-Reference-Cited by-同舟云学术

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On the Link Between Model Performance and Causal Scoring of Medical Image Explanations

Published:2024-06-26 Issue: Volume:157 Page:1-8
ISSN:
Container-title:2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS)
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Author:

Flores-Araiza Daniel¹,Villegas-Jimenez Armando²,Lopez-Tiro Francisco¹,Gonzalez-Mendoza Miguel¹,Rodríguez-Guéant Rosa-Maria³,Hubert Jacques⁴,Ochoa-Ruiz Gilberto¹,Daul Christian⁵

Affiliation:

1. Tecnologico de Monterrey, School of Engineering and Sciences,Mexico

2. Instituto Politécnico Nacional,Ciudad de Mexico,Mexico

3. NGERE, UMR_S 1256, INSERM and Universitéde Lorraine,Vandœuvre-lès-Nancy,France,54500

4. CHRU Nancy,Service d’Urologie de Brabois,Nancy,France

5. Université de Lorraine and CNRS,CRAN UMR 7039,Nancy,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10600689/10600715/10601104.pdf?arnumber=10601104

Reference18 articles.

1. A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation;Jiang,2023

2. On the In Vivo Recognition of Kidney Stones Using Machine Learning

3. Classification of Stones According to Michel Daudon: A Narrative Review

4. Quality Assessment of Urinary Stone Analysis: Results of a Multicenter Study of Laboratories in Europe

5. RISE: randomized input sampling for explanation of black-box models;Petsiuk

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