*Five Years Citation in Google scholar (2016 - 2020) is. 1451*   *    IJPR IS INDEXED IN ELSEVIER EMBASE & EBSCO *       

logo

INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH

A Step Towards Excellence
Published by : Advanced Scientific Research
ISSN
0975-2366
Current Issue
No Data found.
Article In Press
No Data found.
ADOBE READER

(Require Adobe Acrobat Reader to open, If you don't have Adobe Acrobat Reader)

Index Page 1
Click here to Download
IJPR 9[3] July - September 2017 Special Issue

July - September 9[3] 2017

Click to download
 

Article Detail

Label
Label
Automatic Detection of Malarial Parasites from Blood Cells Using Soft Computing Techniques

Author: K. KARUNHARAN, X. ANITHA MARY
Abstract: Medical image processing technics has been a great boon to hematologists for the detection and investigation of disorders such as malarial parasites. Malaria may be an illness caused by parasites, that infect human red blood cells (erythrocytes). The parasites are transmitted by the bite of feminine mosquitoes. protozoal infection continues to be an extremely deadly condition albeit it's treatable. The sphere of investigation in this paper is for automatic malaria detection from blood smear images that has a prodigious significance in healthcare informatics. Widespread experiments are executed using the meticulously thick blood smear images. Our results reveal that the deep-learning-based computing technique with accuracy of 86%.
Keyword: Nonlinear Approximation, Flexible Patch Model, Attribute Opening, Protozoal Infection.
DOI: https://doi.org/10.31838/ijpr/2020.12.04.167
Download: Request For Article
 
Clients

Clients

Clients

Clients

Clients
ONLINE SUBMISSION
USER LOGIN


Username
Password
Login | Register
News & Events
SCImago Journal & Country Rank

Terms and Conditions
Disclaimer
Refund Policy
Instrucations for Subscribers
Privacy Policy

Copyrights Form

0.12
2018CiteScore
 
8th percentile
Powered by  Scopus
Google Scholar

hit counters free