dcnn — 2019 — U-HACK MED

team 2: A Deep convolutional neural network for identifying thyroid cancer

Develop a more accurate system for identifying thyroid cancer by applying a deep convolutional neural network algorithm to data from a UTSW thyroid cancer database.

Project DescriptionsLyda Hill Department of BioinformaticsMay 30, 2019UT Southwestern Medical Centerhackathon, u-hack med, UT Southwestern Medical Center, Lyda Hill Department of Bioinformatics, fiemu nwariaku, surgery, dcnn, deep learning, neural network, machine learning, thyroid cancer, thyroid nodule

2019 TEAMS