A deep learning pipeline claims 85% accuracy for classifying four AML-associated mutations from single-cell blood and bone marrow images, but the evaluation has unresolved validity issues.
Blood, The Journal of the American Society of Hematology140(12), 1345–1377 (2022)
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Predicting Genetic Mutations from Single-Cell Bone Marrow Images in Acute Myeloid Leukemia Using Noise-Robust Deep Learning Models
A deep learning pipeline claims 85% accuracy for classifying four AML-associated mutations from single-cell blood and bone marrow images, but the evaluation has unresolved validity issues.