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.