Abstract #2435

Evaluation of Automated Brain Tumor Localization by Explainable Deep Learning Methods

Morteza Esmaeili¹, Vegard Antun², Riyas Vettukattil³, Hassan Banitalebi¹, Nina Krogh¹, and Jonn Terje Geitung^1,3

¹Akershus University Hospital, Lørenskog, Norway, ²Department of Mathematics, University of Oslo, Oslo, Norway, ³Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway

Machine learning approaches provide convenient autonomous object classification in medical imaging domains. This study uses an explainable method to evaluate the high-level features of deep learning methods in tumor localization.

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