Automated Blood Cell Detection and Classification in Microscopic Images Using YOLOv11 and Optimized Weights

Automated Blood Cell Detection and Classification in Microscopic Images Using YOLOv11 and Optimized Weights

<b>Background/Objectives:</b> Accurate detection and classification of blood cell types in microscopic images are crucial for diagnosing various hematological conditions. This study aims to develop and evaluate advanced architectures for automating blood cell detection and classification...

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Bibliographic Details
Main Authors: Halenur Sazak, Muhammed Kotan
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Diagnostics
Subjects:
YOLOv11
blood cell detection
automated detection
medical imaging
computer vision
Online Access:https://www.mdpi.com/2075-4418/15/1/22
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https://www.mdpi.com/2075-4418/15/1/22

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