CNN-based brain scans utilize Convolutional Neural Networks to analyze MRI or CT scans, aiding in diagnosing neurological conditions. These networks learn to detect subtle features and abnormalities, potentially improving diagnostic accuracy and patient outcomes.

trained on 8k+ images with a training accuracy of ~96% and validation accuracy of ~89% dataset:https://www.kaggle.com/datasets/sartajbhuvaji/brain-tumor-classification-mri?rvi=1

classes:{'glioma_tumor': 0, 'meningioma_tumor': 1, 'normal': 2, 'pituitary_tumor': 3}