1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition
Ruben Gonzalez-Perez, Francisco Lopez-Tiro, Ivan Reyes-Amezcua +6
Currently, the Morpho-Constitutional Analysis (MCA) is the de facto approach for the etiological diagnosis of kidney stone formation, and it is an important step for establishing p…
cs.CV2022
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification
Mauricio Mendez-Ruiz, Francisco Lopez-Tiro, Jonathan El-Beze +5
Deep learning has shown great promise in diverse areas of computer vision, such as image classification, object detection and semantic segmentation, among many others. However, as…