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What is Automated AML Detection in Blood Smears about?

This document presents a novel computer-aided diagnosis (CAD) system for the automated analysis of peripheral blood smear images to identify acute myeloid leukemia (AML). The methodology includes image acquisition, segmentation, feature extraction, and classification, achieving high accuracy rates of 99.81% in differentiating nucleated red blood cells from white blood cells and 99.48% in classifying AML stages. The proposed system aims to reduce the burden on pathologists and improve diagnostic precision by

Author

bilsayelis24

Language

EN