Brain tumor detection through deep learning using convolution neural network (CNN)

This paper gives insight about the implementation of brain tumor detection through deep learning using convolution neural networks (CNN). It deeply explain each and every steps needed to implement in python 3.14 versions i.e. important libraries importing, training and testing data preparation, training and testing data class distribution for model preparation, data generators for model, data visualization using tumor images, building of CNN model, process of CNN training and its evaluation, code prediction and analysis part with visualization of the confusion matrix, classification reports. Prediction accuracy of the model is judged in terms of the precision, recall, f1 score and support for different types of tumors i.e. glioma_tumor, meningioma_tumor, no_tumor and pituitary_tumor.