1. Childhood medulloblastoma classification using efficientnets;Bhuma,2020
2. Classification of childhood medulloblastoma and its subtypes using transfer learning features–A comparative study of deep convolutional neural networks;Das,2020
3. Analyzing gene expression data for childhood medulloblastoma survival with artificial neural networks;Narayanan,2004
4. Comparison of some machine learning and statistical algorithms for classification and prediction of human cancer type;Shamsaei,2016
5. Classification of childhood medulloblastoma into WHO-defined multiple subtypes based on textural analysis;Das;Journal of Microscopy,2020