strikersps/Brain-MRI-Image-Classification-Using-Deep-Learning
Trained a Multi-Layer Perceptron, AlexNet and pre-trained InceptionV3 architectures on NVIDIA GPUs to classify Brain MRI images into meningioma, glioma, pituitary tumor which are cancer classes and those images which are healthy into no tumor class.
This project helps medical professionals efficiently analyze brain MRI scans to identify potential tumors. You input brain MRI images, and the system outputs a classification indicating whether a meningioma, glioma, pituitary tumor, or no tumor is present. It's designed for radiologists, neurologists, and medical researchers.
No commits in the last 6 months.
Use this if you need an automated tool to quickly categorize brain MRI images to aid in early tumor detection.
Not ideal if you require precise tumor localization or a diagnosis rather than a preliminary classification.
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33
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Language
Jupyter Notebook
License
GPL-3.0
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Last pushed
Oct 06, 2022
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