A New Approach to Modify Post Transfer Learning with MobileNetV2 Architecture to Classify Acute Lymphoblastic Leukemia

Computer Science

• Support Vector Machine 100%
• Transfer Learning 100%
• MobileNetV2 100%
• Convolutional Neural Network 42%
• Average Pooling 28%
• Radial Basis Function 28%
• Large Data Set 28%
• Performance Model 14%
• Feature Map 14%
• Fold Cross Validation 14%
• Image Database 14%
• Data Dimension 14%
• Learning Rate 14%

Biochemistry, Genetics and Molecular Biology

• Transfer of Learning 100%
• Support Vector Machine 80%

Chemical Engineering

• Support Vector Machine 100%
• Neural Network 50%