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Marrow Clues in the Detection of Leukemia Using Machine Learning

2026-03-20

Abstract excerpt

Acute Lymphoblastic Leukemia (ALL) is the most prevalent form of childhood cancer, accounting for approximately 25% of all pediatric malignancies worldwide. Conventional diagnosis relies on a trained hematopathologist manually examining Giemsa-stained bone marrow smear slides, a process that is both time-consuming and inherently subjective, with inter-observer variability of up to 20% reported in clinical literatu...

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Literature Corpus work
1e5c83f0-7557-553f-bf66-5936df301bfd
DOI
10.20944/preprints202603.1631.v1
Open publication

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Marrow Clues in the Detection of Leukemia Using Machine LearningDOI 10.20944/preprints202603.1631.v1
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