Machine Learning in Detection and Classification of Leukemia Using Smear Blood Images: A Systematic Review

• Published in: Scientific programming Vol. 2021; pp. 1 - 14
• Main Authors: Ghaderzadeh, Mustafa, Asadi, Farkhondeh, Hosseini, Azamossadat, Bashash, Davood, Abolghasemi, Hassan, Roshanpour, Arash
• Format: Journal Article
• Language: English
• Published: New York Hindawi 25.06.2021; John Wiley & Sons, Inc
• Subjects: Algorithms; Artificial intelligence; Blood; Bone marrow; Classification; Clustering; Deep learning; Diagnosis; Efficiency; Flow cytometry; Image analysis; Image classification; Laboratories; Leukemia; Leukocytes; Machine learning; Medical imaging; Medical research; Methods; Morphology; Search engines; Search methods; Systematic review; Watersheds

Introduction. The early detection and diagnosis of leukemia, i.e., the precise differentiation of malignant leukocytes with minimum costs in the early stages of the disease, is a major problem in the domain of disease diagnosis. Despite the high prevalence of leukemia, there is a shortage of flow cy...