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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Diagnostics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4418/15/1/22 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|