Using Image Classification-based RBC Extraction for Malarial Parasite Identification in Peripheral Blood Smear
Author:
Affiliation:
1. Koneru Lakshmaiah Education Foundation,Department of Computer science & Engineering,Vijayawada,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10104520/10104522/10105117.pdf?arnumber=10105117
Reference17 articles.
1. Automatic detection of malaria parasites for estimating parasitemia;savkare;International Journal of Computer Science and Security,2011
2. Computer vision for microscopy diagnosis of malaria
3. Detection of Peripheral Malarial Parasites in Blood Smears Using Deep Learning Models
4. MalariaCount: An image analysis-based program for the accurate determination of parasitemia
5. A semi-automatic method for quantification and classification of erythrocytes infected with malaria parasites in microscopic images
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1. Malaria Parasite Detection using 2D CNN;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24
2. An Efficient Learning Assisted Malaria Parasites Identification Methodology based on Blood Smear Images;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14
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