GitHub - shafoora/BRAIN-STROKE-CLASSIFICATION-BASED-ON-DEEP-CONVOLUTIONAL-NEURAL-NETWORK-CNN-: The study developed CNN, VGG-16, and ResNet-50 models to classify brain MRI images into hemorrhagic stroke, ischemic stroke, and normal . The dataset was processed for image quality, split into training, validation, and testing sets, and evaluated using accuracy, precision, recall, and F1 score.

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The study developed CNN, VGG-16, and ResNet-50 models to classify brain MRI images into hemorrhagic stroke, ischemic stroke, and normal . The dataset was processed for image quality, split into training, validation, and testing sets, and evaluated using accuracy, precision, recall, and F1 score.

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Name		Name	Last commit message	Last commit date
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CNNHypertune.ipynb		CNNHypertune.ipynb
CNNOriginalModel.ipynb		CNNOriginalModel.ipynb
Resnet50Model.ipynb		Resnet50Model.ipynb
VGG16.ipynb		VGG16.ipynb