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Brain Tumor Classification with CNN by narimanpashayev157 is a document available to read on EtoBox.

What is Brain Tumor Classification with CNN about?

This document outlines a process for classifying brain tumors using MRI images with a custom Convolutional Neural Network (CNN). It details the setup, dataset loading, model building, training, evaluation, and prediction steps, achieving a test accuracy of approximately 92%. The trained model is saved for future use and demonstrates how to make predictions on custom images.

Author

narimanpashayev157

Language

EN