Automatic Classification and Diagnostic Analysis of Microscopic Blood Images Using R CNN Model
Fotima TulaganovaSanjar OmonovArtificial Intelligence, Tashkent State University of Economics, Tashkent, UzbekistanAbdulaziz Xo'jamqulovArtificial Intelligence, Tashkent State University of Economics, Tashkent, Uzbekistan
2024en
ABI
Аннотация
Based on model deep learning, according to the R-CNN model architecture, leukocyte, erythrocyte, and thrombocyte content in the blood is analyzed based on healthy blood composition, patients are divided into different classes and their susceptibility to the disease is predicted based on the criteria of time speed and disease accuracy index. conducted as a research objective. The results of the conducted research gave an effective indicator and gave up to 87% accuracy in identifying diseases.
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