An approach to classify white blood cells using convolutional neural network optimized by particle swarm optimization algorithm

Blood cell count is an important parameter in analysing a person’s health condition. White blood corpuscles (leukocytes) are responsible for deciding the immunity system of a person. White blood cells (WBC) are classified into: lymphocytes, monocytes and granulocytes. Granulocytes are sub-classified...

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Veröffentlicht in:	Neural computing & applications 2022-09, Vol.34 (18), p.16089-16101
Hauptverfasser:	Balasubramanian, Kishore, Ananthamoorthy, N. P., Ramya, K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Artificial neural networks Blood Classification Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Eosinophils Errors Evolutionary algorithms Evolutionary computation Fatigue Genetic algorithms Granulocytes Image Processing and Computer Vision Leukocytes Lymphocytes Machine learning Neural networks Optimization algorithms Original Article Parameter sensitivity Particle swarm optimization Probability and Statistics in Computer Science Sensitivity enhancement
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