Inspiration :
I was inspired by the fact that the leading cause of death when it comes to skin cancer is a layer diagnosis or a misdiagnosis. This program is my first step in trying to resolve that issue.
What it does :
This program uses a simple CNN to build a model capable of determining whether a skin discoloration is a malignant melanoma or a benign skin normality.
How we built it:
I used TensorFlow to build the CNN model and trained this model using open-source labeled images of melanoma found at https://www.kaggle.com/datasets/kmader/skin-cancer-mnist-ham10000.
Challenges we ran into
I am not a very good front-end developer, so excuse the GUI for this program. The goal is perhaps to get this onto an app on a smart device.
Accomplishments that we're proud of
I was able to get the model to be just over 98% accurate!
What we learned
I learned a little bit more about front-end development and that I should look into honing my skills in that area more as presentation is essential.
Built With
- python
- tensorflow
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