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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 Geitung1,3
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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