Cancer Detector for a Cancer Free World

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  TrainNotebook

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  Kaggle Dataset

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  Hugging Face2

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  Hugging Face1

Inspiration

Cancer is disease that claims about 10-15 millions lives per year, however numbers usually don't affect us till the time it isn't a close one who gets targeted by it. Last year, I lost my maternal grandfather to cancer, if his cyst near stomach was detected earlier he would be still be today with us

What it does

My project takes in the image of a CT Scan and tells the possibility for chest cancer and its type.

How we built it

I trained an EffNetModel on kaggle's chest CT Scan dataset, at first the accuracy wasn't good so I added a hint of data augmentation and a scheduler which improved my models performance.

Challenges we ran into

Finding the right dataset for the model since too big would mean its trains slowly as I don't have access to GPUs while too small might be too biased Hosting on Hugging Face Learning Gradio

Accomplishments that we're proud of

The validation acc is about 85% and test accuracy is about 78% so hopefully people with possible chest cancer might get early detection and hence early treatment

What we learned

To host on Hugging Face How to tackle overfitting and underfitting

What's next for Cancer Detector for a Cancer Free World

To finetune on more datasets to help more people worlwide

Built With

• gradio
• huggingface
• python
• pytorch