Automation of Multi-Class Microscopy Image Classification Based on the Microorganisms Taxonomic Features Extraction

Automation of Multi-Class Microscopy Image Classification Based on the Microorganisms Taxonomic Features Extraction

This study presents a unified low-parameter approach to multi-class classification of microorganisms (micrococci, diplococci, streptococci, and bacilli) based on automated machine learning. The method is designed to produce interpretable taxonomic descriptors through analysis of the external geometr...

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Bibliographic Details
Main Authors: Aleksei Samarin, Alexander Savelev, Aleksei Toropov, Aleksandra Dozortseva, Egor Kotenko, Artem Nazarenko, Alexander Motyko, Galiya Narova, Elena Mikhailova, Valentin Malykh
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Journal of Imaging
Subjects:
biomedical image processing
multi-class classification
microbial recognition
taxonomic features extraction
filter-based preprocessing
Online Access:https://www.mdpi.com/2313-433X/11/6/201
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