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Image classification and retrieval framework for Brain Tumour Detection using CNN on ROI segmented MRI images

To test the ideas of machine learning, effects of preprocessing and Region of Interest (ROI) segmentation on the performance of Content Based Medical Image Retrieval (CBMIR) Systems, we have developed a CBMIR prototype using the MATLAB environment. Brain MRI image dataset from Kaggle have been utilized to train and test the Resnet50 Convolutional Neural Network (CNN) which are fed with data, first without preprocessing and without the concepts of ROI and then with data which were preprocessed and ROI segmented. The two different approaches have been compared by measures of accuracy, precision and recall of the classification thus achieved.