A Narrative Review on Machine Learning Methods for Pre-Malignant Blood Cells Identification in Hematological Malignancies
Samuel Bamidele Afolabi, TOBECHI BRENDAN NNANNA, Glory Ojoma, Simon, Damian Ndubuisi NWAJEI, Victor Damilare Oladele, Adibia, Umoroye Nathan & Tobiloba Philip Olatokun · International Research Journal of Oncology · 2026
Hematological malignancies, including leukemias, lymphomas, myelomas, and myelodysplastic syndromes, impose a substantial global health burden, accounting for approximately 10% of all new cancer diagnoses worldwide. Early identification of pre-malignant blood cells a critical win...
Open access
Research Article
10.9734/irjo/2026/v9i1203