Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations

التفاصيل البيبلوغرافية
العنوان: Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations
المؤلفون: Flores-Araiza, Daniel, Lopez-Tiro, Francisco, El-Beze, Jonathan, Hubert, Jacques, Gonzalez-Mendoza, Miguel, Ochoa-Ruiz, Gilberto, Daul, Christian
المصدر: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) CVPRW Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 IEEE/CVF Conference on. :295-304 Jun, 2023
Relation: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
قاعدة البيانات: IEEE Xplore Digital Library
الوصف
ردمك:9798350302493
تدمد:21607516
DOI:10.1109/CVPRW59228.2023.00035