Advances in Leukemia detection and classification: A Systematic review of AI and image processing techniques

Abstract excerpt

<h4>Background: </h4> Leukemia, a heterogeneous group of blood cancers, poses significant challenges to global health due to its complexity, diverse risk factors, and variable outcomes. Accurate and early diagnosis is critical but remains a significant hurdle, particularly in low-resource settings. Recent advancements in artificial intelligence (AI) and image processing offer transformative solutions to improve le...

Topics

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• Algorithms
• Chemokine receptors and signaling
• fms-Like Tyrosine Kinase 3
• interferon and immune responses
• Leukemia, Myeloid, Acute
• Mutation
• Retinoids in leukemia and cellular processes
• World Health Organization

Identifiers and source

Literature Corpus work

7effa06d-0a85-56d0-9598-ef0d8317d77e

DOI

10.12688/f1000research.159318.1