High school student from Southern California who was motivated to use AI to create an efficient diagnosis for thyroid cancer after seeing what his little sister went through during her battle with the disease.
Day 1: Dec 2, 2020
Day 2: Dec 3, 2020
CASE STUDY: DEEP LEARNING ULTRASONOGRAPHY MODEL
Developing a Deep Learning Ultrasonography Model to Classify Thyroid Nodules as Benign
Thyroid cancer, or the occurrence of rapid cell growth in the thyroid gland located near the neck, is the fastest growing cancer among women. Unsurprisingly, the need for a quick diagnosis of thyroid cancer has become ever more important.
After seeing what my little sister went through during her battle with the disease, I was determined to find a more efficient method to diagnose thyroid cancer using artificial intelligence in a way that was painless and non-invasive.
In my talk I will cover my research process from finding a dataset and getting initial results, to finding a mentor willing to help polish my results for submission to competitions. I also hope to inspire people that want to change the world with AI for the better. If a high schooler can do it, so can you!