https://github.com/sayamalt/brain-tumor-image-classification
Successfully developed an image classification model to classify images of distinct types of brain tumors such as glioma tumor, meningioma tumor, pituitary tumor, etc.
https://github.com/sayamalt/brain-tumor-image-classification
alexnet convolutional-neural-networks data-loader deep-learning densenet121 fine-tuning-cnns image-classification mobilenetv3-large model-training-and-evaluation pytorch resnet-50 vgg16
Last synced: about 2 months ago
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Successfully developed an image classification model to classify images of distinct types of brain tumors such as glioma tumor, meningioma tumor, pituitary tumor, etc.
- Host: GitHub
- URL: https://github.com/sayamalt/brain-tumor-image-classification
- Owner: SayamAlt
- Created: 2024-12-05T23:46:38.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-12-09T00:57:31.000Z (6 months ago)
- Last Synced: 2025-03-29T07:44:58.351Z (about 2 months ago)
- Topics: alexnet, convolutional-neural-networks, data-loader, deep-learning, densenet121, fine-tuning-cnns, image-classification, mobilenetv3-large, model-training-and-evaluation, pytorch, resnet-50, vgg16
- Language: Jupyter Notebook
- Homepage: https://brain-tumor-image-classification-c2bda2byb9ggg9dd.canadacentral-01.azurewebsites.net/
- Size: 14.7 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
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Metadata Files: