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.
Journal:
Machine Learning: Science and Technology

ISSN: 2632-2153

Year of publication: 2023

Volume: 4

Issue: 4

Type: Article

DOI: 10.1088/2632-2153/AD0798 GOOGLE SCHOLAR lock_openOpen access editor

Sustainable development goals

Data source: Scopus