Inspiration
Cancer is one of the biggest leading causes of deaths in the world nowadays. Early detection of tumors is very crucial to save the patients. However many times tumors are detected in the very last stages which is a big problem. Manual interpretation of medical images such as x rays can lead to many human errors. Identifying these small signs is often impossible.
What it does
TumoRadar is an innovative tool that we have developed which is in its early stages as of now. TumoRadar uses the power of machine learning and makes cancer detection way more efficient. TumoRadar addresses these challenges by analyzing X Rays and providing medical officials with actionables insights about the X Ray.
How we built it
We built this project using R studio
Challenges we ran into
As bio majors none of us are too fluent in programming hence this event was a massive challenge for us
Accomplishments that we're proud of
I am just happy we got a project done as this is not a event I was too hopeful for
What we learned
We learnt how image detection is a rather difficult task and overall we just learnt how to code
What's next for Tumor radar
We are gonna work on a front end to make this program more user friendly
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