Microscopic images dataset for automation of RBCs counting
Author:
Publisher
Elsevier BV
Subject
Multidisciplinary
Reference4 articles.
1. J.M. Sharif, M.F. Miswan, M.A. Ngadi, M.S.H. Salam, M.M. bin Abdul Jamil, Red blood cell segmentation using masking and watershed algorithm: a preliminary study. In: Proceedings of the IEEE 2012 International Conference on Biomedical Engineering (ICoBE), 2012, pp. 258–262.
2. Automated segmentation of multiple red blood cells with digital holographic microscopy;Yi;J. Biomed. Opt.,2013
3. Semi-automatic red blood cells counting in microscopic digital images;Abbas;J. Tecnol.,2015
4. S.M. Mazalan, N.H. Mahmood, M.A.A. Razak, Automated red blood cells counting in peripheral blood smear image using circular Hough transform. In: Proceedings of the IEEE 2013 1st International Conference on Artificial Intelligence, Modelling and Simulation, 2013, pp. 320–324.
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2. Image Segmentation and Counting of Red Blood Cells in Hepatitis B Patients;2022 Fourth International Conference on Cognitive Computing and Information Processing (CCIP);2022-12-23
3. Microscopic Analysis of Blood Cells for Disease Detection: A Review;Intelligent Systems Reference Library;2021-07-15
4. A review of microscopic analysis of blood cells for disease detection with AI perspective;PeerJ Computer Science;2021-04-21
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