This repo replicate the NIH Malaria Screener mobile application that can detect infected blood cells, that helps medical professionals to diagnose quickly and provide aid to fight malaria through out the world.
Natural Library of Medicine
Evaluate.Malaria.Screener.s.Efficacy.mp4
Source: NLM Seeks Partners to Evaluate Malaria Screener's Efficacy
Data: Malaria Cell from NIH
Validation accurary: 95.12%
Training time: 33m 56s
Resources: Google Colab Standard GPU
Model Architecture: 2Cov, 2MaxPool, Flatten, Dense, Final output
