SammAsuba/Brain-tumor-classifier
Brain tumor classification model from MRI scans using a Convolutional Neural Newtwork (CNN) built with Tensor flow/Keras.
This project helps medical imaging specialists and radiologists classify brain tumors from MRI scans. It takes grayscale MRI images as input and categorizes them into Glioma, Meningioma, Pituitary, or Nontumor. The output helps identify the tumor type, aiding in diagnosis and treatment planning.
Use this if you need a deep learning model to automatically classify common brain tumor types from structural MRI scans.
Not ideal if you require a production-ready, validated medical device for direct clinical diagnosis, or if you need to classify rare tumor types not covered by the four categories.
Stars
13
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 29, 2025
Commits (30d)
0
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