Recognition of peripheral blood cell images using convolutional neural networks

Medicine & Life Sciences

• Basophils 30%
• Blood Cells 84%
• Blood Platelets 20%
• Datasets 61%
• Eosinophils 24%
• Erythroblasts 33%
• Granulocyte Precursor Cells 67%
• Granulocytes 25%
• Hematologic Diseases 30%
• Lymphocytes 17%
• Monocytes 21%
• Neutrophils 20%
• Pathologists 25%
• Psychology Transfer 30%
• Saturn 42%
• Sensitivity and Specificity 19%
• Support Vector Machine 31%

Engineering & Materials Science

• Blood 94%
• Cells 100%
• Classifiers 43%
• Convolutional neural networks 93%
• Experiments 7%
• Feature extraction 15%
• Graphics processing unit 19%
• Image segmentation 19%
• Lymphocytes 31%
• Platelets 26%
• Support vector machines 16%
• Testing 10%
• Transfer learning 24%
• Tuning 31%