https://github.com/somenath203/binaryclass-brain-tumor-classification-using-cnn

Click below to checkout the website of this project
https://github.com/somenath203/binaryclass-brain-tumor-classification-using-cnn

brainmri cnn cnn-classification huggingface jupyter jupyter-notebook python streamlit tensorflow tumor-detection

Last synced: about 2 months ago
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Click below to checkout the website of this project

• Host: GitHub
• URL: https://github.com/somenath203/binaryclass-brain-tumor-classification-using-cnn
• Owner: somenath203
• Created: 2023-12-20T12:14:02.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-03-10T14:18:13.000Z (10 months ago)
• Last Synced: 2024-03-10T15:34:41.763Z (10 months ago)
• Topics: brainmri, cnn, cnn-classification, huggingface, jupyter, jupyter-notebook, python, streamlit, tensorflow, tumor-detection
• Language: Jupyter Notebook
• Homepage: https://huggingface.co/spaces/som11/brain_tumor_classification_using_cnn
• Size: 316 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Binaryclass Brain Tumor Classification using CNN

This is a project which uses Tensorflow, Convolutional Neural Network (CNN), and Streamlit to analyze MRI images of Brain and detect the presence or absence of Tumors.

## Dataset used in this project

https://www.kaggle.com/datasets/ahmedhamada0/brain-tumor-detection

## Warning

While the model of this project can classify brain tumors correctly, but in some cases, the model may misclassify tumors or fail to detect them altogether, therefore, it is strongly advised not to rely solely on the output of this model.