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About Image Analysis and Machine Learning For Detecting Malaria
This document summarizes a research article that examines the use of image analysis and machine learning techniques for detecting malaria from microscopic blood slide images. It organizes different approaches published in the literature according to the techniques used for imaging, image preprocessing, parasite/cell detection, feature computation, and automatic classification. The techniques are listed in tables along with relevant citations. Deep learning and smartphone applications for future malaria diagnosis are also discussed. The goal of these techniques is to improve malaria diagnosis by automating the quantification of parasitemia from blood slides in a standardized, efficient manner.
Detailed Information
| Author: | ['William Jonathan'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 21 |
| Language: | English |
| Format: | |
| Price: | FREE |
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