UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1902F03


Registration ID:
318626

Page Number

180-186

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Title

Design of ANN Based System for the Detection of Malaria in Blood Smear Images

Abstract

In many countries of the world including India, malaria is the foremost source of demise and illness. The efficient medication and managing of the infection are a speedy and precise identification. In the detection of the malaria, traditional microscopic technique considered as the gold standard one. However, it has not only an issue with replicating the results but also susceptible to several limitations, like time consumption. So, employing stained thin blood smear s, a précised, rapid, and appropriate technique is designed for malaria detection in our study. Our technique examines thin blood smear s for the presence of malaria parasites using an ANN.The input s of blood smear cells are processed, segmented, and then categorized into healthy and unhealthy s based on retrieved features.

Key Words

Malaria detection, blood smear s, image processing, ANN.

Cite This Article

"Design of ANN Based System for the Detection of Malaria in Blood Smear Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.180-186, February-2019, Available :http://www.jetir.org/papers/JETIR1902F03.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Design of ANN Based System for the Detection of Malaria in Blood Smear Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp180-186, February-2019, Available at : http://www.jetir.org/papers/JETIR1902F03.pdf

Publication Details

Published Paper ID: JETIR1902F03
Registration ID: 318626
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 180-186
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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