Interpretable Machine Learning for Brain Tumour Analysis using MRI and Whole Slide Images

07/02/2022

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by   Dulani Meedeniya, et al.

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Tumour-Analyser is a web application that classifies a brain tumour into three classes, namely, lower-grade astrocytoma (A), oligodendroglioma (O), glioblastoma & diffuse astrocytic glioma (G). We use a magnetic resonance imaging (MRI) sequence and a whole slide imaging (WSI) that are classified using DenseNet and ResNet, respectively. The tool interprets the decision-making process of each classification model. Tumour-Analyser provides a viable solution to the less human understandability of existing models due to the inherent black-box nature of deep learning models and less transparency, by applying interpretability.