AminRezaeeyan/NeuroScan

A CNN built with TensorFlow/Keras to classify brain tumors with 98.32% accuracy. Leveraging a VGG-inspired architecture, real-time data augmentation, and advanced training strategies, this model delivers robust, reliable performance for medical diagnostics.

GitHub repository with 18 stars and 0 forks.

Language: Python

Topics: convolutional-neural-networks, data-augmentation, medical-image-processing

Open provider repository

Latest metric snapshot

2026-11-02: 18 stars and 0 forks.

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