Unsupervised online clustering and detection algorithms using crowdsourced data for malaria diagnosis-Reference-Cited by-同舟云学术

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Unsupervised online clustering and detection algorithms using crowdsourced data for malaria diagnosis

Published:2019-02 Issue: Volume:86 Page:209-223
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Pagès-Zamora Alba,Cabrera-Bean Margarita,Díaz-Vilor Carles

Funder

ERDF

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference29 articles.

1. 2018 (http://malariaspot.org).

2. Different methods for diagnosing malaria disease;Nag;IJCMPR,2016

3. Automated and unsupervised detection of malarial parasites in microscopic images;Purwar;Malar. J.,2011

4. Automatic detection of malaria parasites for estimating parasitemia;Savkare;Int. J. Comput. Sci. Secur. (IJCSS),2011

5. Detection of malarial parasite in blood using image processing;Suradkar;Int. J. Eng. Innov. Technol. (IJEIT),2013

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