Automatic analysis system for abnormal red blood cells in peripheral blood smears-Reference-Cited by-同舟云学术

Automatic analysis system for abnormal red blood cells in peripheral blood smears

Published:2022-08-02 Issue:11 Volume:85 Page:3623-3632
ISSN:1059-910X
Container-title:Microscopy Research and Technique
language:en
Short-container-title:Microscopy Res & Technique

Author:

Gil Taeyeon¹,Moon Cho‐I¹,Lee Sukjun²,Lee Onseok¹³^ORCID

Affiliation:

1. Department of Software Convergence Graduate School, Soonchunhyang University Asan City Chungnam‐do Republic of Korea

2. Department of Biomedical Laboratory Science, College of Health and Medical Sciences Cheongju University Cheongju City Chungbuk Republic of Korea

3. Department of Medical IT Engineering, College of Medical Sciences Soonchunhyang University Asan City Chungnam‐do Republic of Korea

Funder

Ministry of Science and ICT, South Korea

National Research Foundation of Korea

Publisher

Wiley

Subject

Medical Laboratory Technology,Instrumentation,Histology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jemt.24215

Reference25 articles.

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4. Deep Learning Models for Classification of Red Blood Cells in Microscopy Images to Aid in Sickle Cell Anemia Diagnosis

5. Batitis V. M. E. Caballes M. J. G. Ciudad A. A. Diaz M. D. Flores R. D. &Tolentin E. R. E.(2020).Image classification of abnormal red blood cells using decision tree algorithm. Paper presented at the 2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC).

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