Improving Automatic Endoscopic Stone Recognition Using a Multi-view Fusion Approach Enhanced with Two-Step Transfer Learning
Author:
Affiliation:
1. School of Engineering and Sciences,Tecnologico de Monterrey,Mexico
2. CINVESTAV,Guadalajara,Mexico
3. Service D’Urologie de Brabois,CHRU Nancy,Nancy,France
4. Université de Lorraine and CNRS,CRAN UMR 7039,Nancy,France
Funder
Microsoft
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10350357/10350360/10350830.pdf?arnumber=10350830
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1. Deep learning computer vision algorithm for detecting kidney stone composition
2. Kidney stone analysis: “Give me your stone, I will tell you who you are!”
3. Classification of Stones According to Michel Daudon: A Narrative Review
4. Comprehensive morpho-constitutional analysis of urinary stones improves etiological diagnosis and therapeutic strategy of nephrolithiasis
5. Clinical Value of Crystalluria and Quantitative Morphoconstitutional Analysis of Urinary Calculi
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