Automated laboratory diagnosis for mobile devices
C Python Shell
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README.md
build.sh
evaluatedetection.py
libshapefeatures.c
libshapefeatures.so
plot-patches-by-classification-score.py
shapefeatures.py

README.md

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