Roujia Wang

Roujia Wang is a Ph.D. candidate at Duke University advised by Dr. Nimmi Ramanujam. Her research interests lie in the field of medical imaging and global health. Currently, she is developing a low-cost optical molecular imaging platform incorporating a computer-aided algorithm as an alternative to traditional pathology, providing more accessible point-of-care breast cancer diagnostics in low resource settings. She hopes that the low-cost diagnostic tool and ML algorithm could expand access to breast cancer pathology and high-quality diagnostic capabilities, with the optimal goal of improving survival outcomes for breast cancer patients regardless of their socioeconomic background.

Posts by Roujia Wang

A 3-step diagram showing the workflow for skin mole detection and classification. Starting from an input, moving to the YOLOv4 model for detection, and ending with an EfficientNet model for final classification.
Technical Walkthrough 0

Building Real-time Dermatology Classification with NVIDIA Clara AGX

This post discusses developing an end-to-end example of how deep learning could lead to an automated dermatology exam system free of human bias… 4 MIN READ