Automated Analysis of Blood Smear Images for Leukemia Detection: A Comprehensive Review

Leukemia, the malignancy of blood-forming tissues, becomes fatal if not detected in early stages. It is through a blood smear test that involves morphological analysis stained slide. The manual microscopic examination slides tedious, time-consuming, error-prone, and subject to inter-observer intra-observer bias. Several computerized methods automate this task have been developed alleviate these problems during past few years. However, no exclusive comprehensive review has presented date. Such shall be highly beneficial for novice readers interested pursuing research domain. This article fills void by presenting 149 papers detailing used analyze images detect leukemia. primary focus on underlying techniques their reported performance, along with merits demerits. also enumerates issues satisfactorily solved open challenges still existing