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Explainable Deep Ensemble of Brain Tumor Classification based on MRI
Heterogeneity of cerebral neoplasms, loss of information labeling, and inter-class similarity make it difficult not only to differentiate the tumor clinically but also to establish separation of subtypes, taking Magnetic Resonance Imaging (MRI) into consideration. It presents a neurotumor multiclass classifier, which h...
Reliability and Explainability Analysis of CNN and Vision Transformer Models for Brain Tumor MRI Classification
The clinically feasible explanations and the high performance in classifications are not only strong screening outcomes of the Magnetic Resonance Imaging (MRI) on brain tumors, but also trustworthy confidence estimates and explanations. The present paper gives a single-run benchmark of three convolutional neural networ...