Optimizing deep learning for accurate blood cell classification: A study on stain normalization and fine-tuning techniques

Optimizing deep learning for accurate blood cell classification: A study on stain normalization and fine-tuning techniques

BACKGROUND: Deep learning’s role in blood film screening is expanding, with recent advancements including algorithms for the automated detection of sickle cell anemia, malaria, and leukemia using smartphone images. OBJECTIVES: This study aims to build the artificial intelligence (AI) models and asse...

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Bibliographic Details
Main Authors:	Mohammed Tareq Mutar, Jaffar Nouri Alalsaidissa, Mustafa Majid Hameed, Ali Almothaffar
Format:	Article
Language:	English
Published:	Wolters Kluwer Medknow Publications 2025-01-01
Series:	Iraqi Journal of Hematology
Subjects:	deep learning fine-tuning malignant cells stain normalization
Online Access:	https://journals.lww.com/10.4103/ijh.ijh_110_24
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