AI-Assisted Web Application for Leukocyte Abnormality Counting With YOLOv11 and Smartphone Microscopy
Accurate and timely white blood cell (WBC) analysis is crucial for diagnosing hematological disorders, often requiring microscopic examination of peripheral blood smears (PBS). While manual counting by trained specialists is considered the gold standard, it is time-consuming and impractical in resou...
Saved in:
| Main Authors: | Natthakorn Kasamsumran, Piyalitt Ittichaiwong, Chutinart Chinudomporn, Kanyakorn Veerakanjana, Ekapun Karoopongse, Wanchalerm Pora |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11003063/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Advanced leukocyte classification using attention mechanisms and dual channel U-Net architecture
by: Gauri Kalnoor, et al.
Published: (2025-04-01) -
Blood group antigens visualisation on leukocytes
by: Grigorovich Kravchun Pavlo, et al.
Published: (2024-01-01) -
The determination of alpha naphthyl acetate esterase (anae) positivity in peripheral blood leukocytes of kyrgyzstan?s mountain yaks (bos grinniens)
by: Nariste Kadıralieva, et al.
Published: (2020-10-01) -
Fine-tuned YOLO-based deep learning model for detecting malaria parasites and leukocytes in thick smear images: A Tanzanian case study
by: Beston Lufyagila, et al.
Published: (2025-09-01) -
Study on the stability of PBMCs recovered from leukocyte-depleted filter residues
by: LIN Ju, et al.
Published: (2025-05-01)