Recognition System for Malarial Parasites Causing Protozoa Infections in Thin Blood Smears
Author:
Affiliation:
1. Jaypee University of Information Technology,Department of CSE & IT,Solan,Himachal Pradesh,India
2. Jaypee University of Information Technology,Department of ECE,Solan,Himachal Pradesh,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10269798/10269803/10270348.pdf?arnumber=10270348
Reference35 articles.
1. Image analysis and machine learning for detecting malaria
2. SVM Classification of Cell Survival/ Apoptotic Death for Color Texture Images of Survival Receptor Proteins;jain;International Journal on Emerging Technologies,2019
3. Computer-Aided Detection System for the Classification of Non-Small Cell Lung Lesions using SVM
4. Automatic Identification of Malaria-Infected RBC With Digital Holographic Microscopy Using Correlation Algorithms
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1. A Modified Deep Learning Architecture For Detecting MalariaInfected Cells;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18
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