About the Project:

Problem : Brain Tumor Detection (Classification as well as Segementation)

• Data

Implementation: I have taken inspiration from Kaggle Dataset, and implemented in Tensorflow 2.0, and have deployed it using Flask application.

Setup:

LOCAL MACHINE What you need to do is:

Download the repo:

• Run the app.py file
• Run the index.html file and you are good to go
• For the model designing part, you can go to 'brain-segmentation.ipynb' notebook, which explains all the model outcomes
• image.py contains the function which predicts the output
• In the index.html file, only the prediction is made, i.e whether the brain contains tumour or not (not the segmentation part).

📺 Some of my projects:

• Medical Visual Question Answering
• Customer Segmentation (Unsupervised Learning)
• Brain MRI Segmentation (Classification and Segmentation) (Current Repository)
• Image Classification (Cancer detection)
• Movie Recomendation using Cosine Similarity

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