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On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification.

, , , , , , , and . CoRR, (2022)

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Deep morphological recognition of kidney stones using intra-operative endoscopic digital videos., , , , , , , and . CoRR, (2022)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 in vivo recognition of kidney stones using machine learning., , , , , , , , , and . CoRR, (2022)Assessing deep learning methods for the identification of kidney stones in endoscopic images., , , , , , , , , and 1 other author(s). CoRR, (2021)Assessing deep learning methods for the identification of kidney stones in endoscopic images., , , , , , , , , and 1 other author(s). EMBC, page 2778-2781. IEEE, (2021)Towards Automatic Recognition of Pure & Mixed Stones using Intraoperative Endoscopic Digital Images., , , , , , and . CoRR, (2021)On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification., , , , , , , and . CoRR, (2022)