CAB‐Net: Convolutional attention BLSTM network for enhanced leukocyte classification

In recent years, deep learning techniques have been increasingly utilized to automate and reduce human errors in leukocyte classification. However, reliability and accuracy issues remain a challenge. This paper proposes CAB‐Net, an end‐to‐end deep learning‐based model that integrates a convolutional...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	International journal of imaging systems and technology 2024-03, Vol.34 (2), p.n/a
Hauptverfasser:	Zonyfar, Candra, Kim, Jeong‐Dong
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks attention mechanism BLSTM Classification CNN Deep learning Human error Leukocytes leukocytes classification Machine learning Prediction models white blood cell classification
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!