GitHub / 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.
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PURL: pkg:github/strikersps/Brain-MRI-Image-Classification-Using-Deep-Learning
Stars: 9
Forks: 2
Open issues: 0
License: gpl-3.0
Language: Jupyter Notebook
Size: 1.83 GB
Dependencies parsed at: Pending
Created at: about 4 years ago
Updated at: over 2 years ago
Pushed at: almost 3 years ago
Last synced at: over 2 years ago
Topics: brain-mri-classification, cancer-detection, convolutional-neural-networks, deep-learning, healthcare, image-classification, keras, tensorflow