Optimized automated blood cells analysis using Enhanced Greywolf Optimization with integrated attention mechanism and YOLOv5

Author:

Shahin Osama R.,Gasmi KarimORCID,Krichen MoezORCID,Alamro Meznah A.,Mihoub AlaeddineORCID,Ben Ammar Lassaad,Tawashi Mohammed Abdullah

Funder

Prince Sattam bin Abdulaziz University

Princess Noura Bint AbdulRahman University

Publisher

Elsevier BV

Reference33 articles.

1. White blood cell classification: convolutional neural network (CNN) and Vision Transformer (ViT) under medical microscope;Abou Ali;Algorithms,2023

2. Construction of machine learning-based models for cancer outcomes in low and lower-middle income countries: a scoping review;Adeoye;Front. Oncol.,2022

3. A review of grey wolf optimizer-based feature selection methods for classification;Al-Tashi,2020

4. Classification of red blood cells in sickle cell anemia using deep convolutional neural network;Alzubaidi,2020

5. Blood cell counting based on U-Net++ and YOLOv5;Bai;Optoelectron. Lett.,2023

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