Interpretable machine learning for brain tumour analysis using MRI and whole slide images

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.

Automated summary

Tumour-Analyser is a web application that classifies brain tumours using MRI and whole slide imaging with DenseNet and ResNet models. It provides interpretability to overcome the black-box nature and lack of transparency in deep learning models.