Automatic identification of malaria and other red blood cell inclusions using convolutional neural networks

Keyphrases

• Malaria 100%
• Red Blood Cells 100%
• Cell Inclusions 100%
• Convolutional Neural Network 100%
• Automatic Identification 100%
• Malaria Parasite 40%
• Erythrocytes 40%
• Work Environment 20%
• Infected Patients 20%
• Machine Learning Techniques 20%
• Serious Disease 20%
• Peripheral Blood Smear 20%
• Deep Learning Model 20%
• VGG16 20%
• Transfer Learning 20%
• Transformation Technique 20%
• Digital Image 20%
• Malaria-infected Red Blood Cells 20%
• Watershed Transform 20%

Immunology and Microbiology

• Hemocyte 100%
• Plasmodium 66%
• Erythrocyte 66%
• Transfer of Learning 33%

Biochemistry, Genetics and Molecular Biology

• Hemocyte 100%
• Plasmodium 66%
• Transfer of Learning 33%