Project website: parasite.id
We use automated image analysis powered by machine learning to facilitate diagnosis of parasitic worm infection in the developing world. We designed our tool to be coupled with inexpensive and highly mobile cell phone microscopes that can be operated by almost anyone. ParasiteID reduces the bottleneck to patient treatment by removing the need for highly trained microscopists and the expensive microscopes conventionally used in diagnosis.
We have created a highly sensitive and specific diagnostic tool by assembling the largest helminth egg image dataset of its kind and by implementing cutting edge deep learning techniques.
Read an Interview with the Team
Capstone Project Winner ParasiteID Aims to Facilitate Diagnoses in Developing World