Khalid, S., Rashwan, H. A., Abdulwahab, S., Abdel-Nasser, M., Quiroga, F. M., & Puig, D. (2023). FGR-Net: Interpretable fundus image gradeability classification based on deep reconstruction learning.
Cita Chicago Style (17a ed.)Khalid, Saif, Hatem A. Rashwan, Saddam Abdulwahab, Mohamed Abdel-Nasser, Facundo Manuel Quiroga, y Domenec Puig. FGR-Net: Interpretable Fundus Image Gradeability Classification Based on Deep Reconstruction Learning. 2023.
Cita MLA (8a ed.)Khalid, Saif, et al. FGR-Net: Interpretable Fundus Image Gradeability Classification Based on Deep Reconstruction Learning. 2023.
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