Interpretable surrogate models to approximate the predictions of convolutional neural networks in glaucoma diagnosis

  1. Sigut, J.
  2. Fumero, F.
  3. Arnay, R.
  4. Estévez, J.
  5. Díaz-Alemán, T.
Revue:
Machine Learning: Science and Technology

ISSN: 2632-2153

Année de publication: 2023

Volumen: 4

Número: 4

Type: Article

DOI: 10.1088/2632-2153/AD0798 GOOGLE SCHOLAR lock_openAccès ouvert editor

Objectifs de Développement Durable