Nikita Mahajan

Medium blog post describing a 9-layer convolutional neural network approach to classify MRI brain images into glioma, meningioma, pituitary tumor, and no-tumor classes; reports dataset details, preprocessing, CNN architecture, and experimental results (training with 50 epochs and reported highest accuracy ~88%).

Conference paper describing a transfer-learning–based approach for brain tumor detection from MRI images; appears in conference proceedings and is listed on ResearchGate and conference download pages.