An intelligent neural network model to detect red blood cells for various blood structure classification in microscopic medical images-Reference-Cited by-同舟云学术

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An intelligent neural network model to detect red blood cells for various blood structure classification in microscopic medical images

Published:2024-02 Issue:4 Volume:10 Page:e26149
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Khan Riaz Ullah^ORCID,Almakdi Sultan,Alshehri Mohammed,Haq Amin Ul,Ullah Aman,Kumar Rajesh^ORCID

Funder

University of Electronic Science and Technology of China

Najran University

Deanship of Scientific Research, University of Jordan

Publisher

Elsevier BV

Reference23 articles.

1. Analysis of red blood cells from peripheral blood smear images for anemia detection: a methodological review;Navya;Med. Biol. Eng. Comput.,2022

2. Selective hole filling of red blood cells for improved marker-controlled watershed segmentation;Nurçin;Scanning,2021

3. Automatic system for classification of erythrocytes infected with malaria and identification of parasite's life stage;Savkare;Proc. Technol.,2012

4. Classification of skin cancer with deep transfer learning method;Khalid;J. Comput. Sci.,2022

5. Transfer learning-based classification comparison of stroke;Ali;J. Comput. Sci.,2022

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1. Anisocytosis Abnormalities Classification using Spatial Attention Mechanism;2024 International Conference on Computing and Data Science (ICCDS);2024-04-26

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