Comprehensive data analysis of white blood cells with classification and segmentation by using deep learning approaches

• Published in: Cytometry. Part A Vol. 105; no. 7; pp. 501 - 520
• Main Authors: Özcan, Şeyma Nur, Uyar, Tansel, Karayeğen, Gökay
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.07.2024; Wiley Subscription Services, Inc
• Subjects: Accuracy; Artificial neural networks; Blood; Classification; CNN; Cytoplasm; Data analysis; Datasets; Deep learning; image classification; independent dataset; Leukocytes; Machine learning; Neural networks; nucleus and cytoplasm segmentation; Peripheral blood; Segmentation; white blood cells; CNN; image classification; white blood cells; nucleus and cytoplasm segmentation; independent dataset

Deep learning approaches have frequently been used in the classification and segmentation of human peripheral blood cells. The common feature of previous studies was that they used more than one dataset, but used them separately. No study has been found that combines more than two datasets to use to...