Brain Tumor Classifier
Israel Maikyau
Data Scientist
ML Engineer
AI Developer
Python
SQLite
TensorFlow
The brain tumor classifier uses computer vision techniques to classify MRI images into four categories. The classifier leverages a pre-trained ResNet152V2 model, fine-tuned with custom layers for the classification task. Key technologies utilized include TensorFlow and Keras for deep learning, data augmentation for enhancing dataset robustness, and Sklearn for performance evaluation metrics. The model is trained, evaluated, and then converted to TensorFlow Lite format for deployment, facilitating automated and accurate brain tumor detection.
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