Maqola

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

Annotatsiya

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.

Mavzular

Brain Tumor Detection and Classification AI in cancer detection Digital Imaging for Blood Diseases

Identifikatorlar

DOI: 10.1145/3726122.3726187

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