Classification of lymphocytes, monocytes, eosinophils, and neutrophils on white blood cells using hybrid Alexnet-GoogleNet-SVM

• Published in: SN applied sciences Vol. 3; no. 4; p. 503
• Main Authors: Çınar, Ahmet, Tuncer, Seda Arslan
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.04.2021; Springer Nature B.V
• Subjects: Accuracy; Algorithms; Applied and Technical Physics; Artificial neural networks; Blood; Chemistry/Food Science; Classification; Datasets; Deep learning; Discriminant analysis; Earth Sciences; Engineering; Engineering: Digital Image Processing; Environment; Eosinophils; Feature selection; Identification systems; Immune system; Infectious diseases; Leukemia; Leukocytes; Leukocytes (basophilic); Leukocytes (eosinophilic); Leukocytes (neutrophilic); Lymphocytes; Machine learning; Materials Science; Model accuracy; Monocytes; Morphology; Neural networks; Neutrophils; Research Article; Support vector machines; Hybrid CNN; Alexnet-Googlenet-SVM; WBC classification

White blood cells (WBC), which form the basis of the immune system, protect the body from foreign invaders and infectious diseases. While the number and structural features of WBCs can provide important information about the health of people, the ratio of the subtypes of these cells and observable d...