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All Journal Dinasti International Journal of Education Management and Social Science
Herlambang, Raihan
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Education

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Classification of Human Blood Cells Based on Subtypes Using Linear Discriminant Analysis on Microscope Images Herlambang, Raihan; Sunarto, Asril Adi; Azzahra, Fathia Frazna
Dinasti International Journal of Education Management and Social Science Vol. 7 No. 1 (2025): Dinasti International Journal of Education Management and Social Science (Octob
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v7i1.5290

Abstract

This study aims to develop an automated classification system for human blood cells using microscopic images to improve the accuracy of subtype identification. To overcome the limitations of manual classification, the research adopts an artificial intelligence approach using the Linear Discriminant Analysis (LDA) algorithm, chosen for its effectiveness in dimensionality reduction and data group separation. The study follows the Knowledge Discovery in Databases (KDD) methodology, involving data selection, preprocessing (normalization, enhancement, segmentation, and noise removal), feature extraction using the Gray Level Co-occurrence Matrix (GLCM), and classification into eight blood cell types. The model's performance is evaluated using metrics such as accuracy, precision, recall, and F1-score. The research aims to contribute to more efficient and accurate medical image classification systems and demonstrate the potential of LDA in AI-based medical applications.
Co-Authors Asril Adi Sunarto Azzahra, Fathia Frazna