Breast Cancer Detection from Mammogram

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  Gradio Interface For checking ml models

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  Output of mammogram

Inspiration

With rapid advancement of health technologies it has become become easier to monitor health on day to day basis. But certain diseases need treatment at the earliest stage. Breast Cancer is a disease that needs to be diagnosed at the earliest stage. Only mammogram helps in early detection of Breast Cancer.

What it does

It takes the input of mammogram image and classifies into one of the four categories i.e., Calcification Benign, Calcification Malignant, Mass Benign and Mass Malignant.

How I built it

I built the model with the concept of Transfer Learning. I used a pre-built model VGG152V2 and used the trained weights of that model into my model and score a better accuracy

Accomplishments that I am proud of

My model achieved a accuracy of 90%.

Built With

• gradio
• keras
• numpy
• python
• tensorflow