Inspiration

Diagnosing cancer early results in significantly higher survival rates compared to late-stage diagnosis.

What it does

Detect lung cancer from CT scans.

How I built it

Converted DICOM files into JPEG files to be sent to the Clarifai Custom Training Model to be trained.

Challenges I ran into

The DICOM files had series of images that had to be converted to jpg. It was also difficult to prune and process the relevant information needed for the training model.

Accomplishments that I'm proud of

Built a python script that converted DICOM files to JPEG images. Built a model using training data from converted JPEG images.

What I learned

Medical Imaging requires better computing resources and more data.

What's next for LungCancerDetector

Obtain better computing resources to handle large amounts of medical images.

Built With

Share this project:
×

Updates