no code implementations • 1 Feb 2024 • Ariadna Jiménez-Partinen, Karl Thurnhofer-Hemsi, Esteban J. Palomo, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos
In this paper, a new performance analysis of deep learning methods for binary ICA classification with different lesion degrees is reported.
no code implementations • 1 Feb 2024 • Ariadna Jiménez-Partinen, Miguel A. Molina-Cabello, Karl Thurnhofer-Hemsi, Esteban J. Palomo, Jorge Rodríguez-Capitán, Ana I. Molina-Ramos, Manuel Jiménez-Navarro
In addition, baseline classification methods are proposed and analyzed, validating the functionality of CADICA and giving the scientific community a starting point to improve CAD detection.
no code implementations • 16 Jul 2020 • Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Miguel A. Molina-Cabello, Kayvan Najarian
Experimental results show that OKSVM performs better irrespective of the initial values of the RBF hyperparameter.