Improving Cell Detection and Tracking in Microscopy Images Using YOLO and an Enhanced DeepSORT Algorithm

Accurate and automated detection and tracking of cells in microscopy images is a persistent challenge in biotechnology and biomedical research. Effective detection and tracking are crucial for understanding biological processes and extracting meaningful data for subsequent simulations. In this study...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Mokhaled N. A. Al-Hamadani, Richard Poroszlay, Gabor Szeman-Nagy, Andras Hajdu, Stathis Hadjidemetriou, Luca Ferrarini, Balazs Harangi
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-07-01
Schriftenreihe:	Sensors
Schlagworte:	microscopy images cell detection YOLO model cell tracking DeepSORT algorithm UKF
Online-Zugang:	https://www.mdpi.com/1424-8220/25/14/4361
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