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On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification.

, , , , , , , , and . MICAI (1), volume 13612 of Lecture Notes in Computer Science, page 249-263. Springer, (2022)

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On the In Vivo Recognition of Kidney Stones Using Machine Learning., , , , , , and . IEEE Access, (2024)Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning., , , , , , , , and . EMBC, page 1936-1939. IEEE, (2020)On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification., , , , , , , and . CoRR, (2022)Comparing feature fusion strategies for Deep Learning-based kidney stone identification., , , , , , and . CoRR, (2022)On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification., , , , , , , , and . MICAI (1), volume 13612 of Lecture Notes in Computer Science, page 249-263. Springer, (2022)Improving Automatic Endoscopic Stone Recognition Using a Multi-view Fusion Approach Enhanced with Two-Step Transfer Learning., , , , , , and . ICCV (Workshops), page 4167-4174. IEEE, (2023)Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations., , , , , , and . CVPR Workshops, page 295-304. IEEE, (2023)Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies., , , , , , and . CoRR, (2022)Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning., , , , , , and . CoRR, (2023)Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies., , , , , , , and . ISBI, page 1-5. IEEE, (2023)