Computer-Automated Malaria Diagnosis and Quantitation Using Convolutional Neural Networks

Courosh Mehanian, Mayoore Jaiswal, Charles Delahunt, Clay Thompson, Matt Horning, Liming Hu, Travis Ostbye, Shawn McGuire, Martha Mehanian, Cary Champlin, Ben Wilson, Earl Long, Stephane Proux, Dionicia Gamboa, Peter Chiodini, Jane Carter, Mehul Dhorda, David Isaboke, Bernhards Ogutu, Wellington Oyibo, Elizabeth Villasis, Kyaw Myo Tun, Christine Bachman, David Bell; Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017, pp. 116-125


The optical microscope remains a widely-used tool for diagnosis and quantitation of malaria. An automated system that can match the performance of well-trained technicians is motivated by a shortage of trained microscopists. We have developed a computer vision system that leverages deep learning to identify malaria parasites in micrographs of standard, field-prepared thick blood films. The prototype application diagnoses P. falciparum with sufficient accuracy to achieve competency level 1 in the World Health Organization external competency assessment, and quantitates with sufficient accuracy for use in drug resistance studies. A suite of new computer vision techniques--global white balance, adaptive nonlinear grayscale, and a novel augmentation scheme--underpin the system's state-of-the-art performance. We outline a rich, global training set; describe the algorithm in detail; argue for patient-level performance metrics for the evaluation of automated diagnosis methods; and provide results for P. falciparum.

Related Material

author = {Mehanian, Courosh and Jaiswal, Mayoore and Delahunt, Charles and Thompson, Clay and Horning, Matt and Hu, Liming and Ostbye, Travis and McGuire, Shawn and Mehanian, Martha and Champlin, Cary and Wilson, Ben and Long, Earl and Proux, Stephane and Gamboa, Dionicia and Chiodini, Peter and Carter, Jane and Dhorda, Mehul and Isaboke, David and Ogutu, Bernhards and Oyibo, Wellington and Villasis, Elizabeth and Myo Tun, Kyaw and Bachman, Christine and Bell, David},
title = {Computer-Automated Malaria Diagnosis and Quantitation Using Convolutional Neural Networks},
booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {Oct},
year = {2017}