Efficient leukocytes detection and classification in microscopic blood images using convolutional neural network coupled with a dual attention network-Reference-Cited by-同舟云学术

Efficient leukocytes detection and classification in microscopic blood images using convolutional neural network coupled with a dual attention network

Published:2024-05 Issue: Volume:174 Page:108146
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Khan Siraj,Sajjad Muhammad,Abbas Naveed^ORCID,Escorcia-Gutierrez José^ORCID,Gamarra Margarita,Muhammad Khan

Funder

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Reference82 articles.

1. Leukocytes classification and segmentation in microscopic blood smear: a resource-aware healthcare service in smart cities;Sajjad;IEEE Access,2016

2. A review on traditional machine learning and deep learning models for WBCs classification in blood smear images;Khan;IEEE Access,2020

3. Hematology as a diagnostic tool in bovine medicine;Roland;J. Vet. Diagn. Invest.,2014

4. White blood cells detection and classification based on regional convolutional neural networks;Kutlu;Med. Hypotheses,2020

5. Modeling and Simulation and Imaging of Blood Flow in the Human Body;Hosseini,2021

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