/mobile-microscopy

Automated laboratory diagnosis for mobile devices

Primary LanguageCMIT LicenseMIT

mobile-microscopy

Automated laboratory diagnosis for mobile devices

To run this code:

./build.sh

python evaluatedetection.py

Reference:

J.A. Quinn, A. Andama, I. Munabi, F.N. Kiwanuka. Automated Blood Smear Analysis for Mobile Malaria Diagnosis. Chapter in Mobile Point-of-Care Monitors and Diagnostic Device Design, eds. W. Karlen and K. Iniewski, CRC Press. 2014

http://cit.mak.ac.ug/staff/jquinn/papers/AutomatedMalariaDiagnosisChapter.pdf

Data:

2703 blood smear images with bounding boxes of 50,255 malaria parasites.

http://air.ug/downloads/plasmodium-images.zip