Real-time microscopy image-based segmentation and classification models for cancer cell detection

Computer Science

• Classification Models 100%
• Convolutional Neural Network 100%
• Segmentation Model 100%
• Image Processing Algorithm 50%
• Image Processing Technique 50%
• Performance Metric 50%
• Neural Network Application 50%
• U-Net 50%
• Jaccard Coefficient 50%
• Batch Normalization 50%
• VGG-16 50%
• Convolution Neural Network Model 50%
• Pixel Accuracy 50%
• Activation Function 50%
• Convolutional Layer 50%

INIS

• cancer 100%
• classification 100%
• detection 100%
• images 100%
• microscopy 100%
• layers 57%
• applications 42%
• neural networks 42%
• masks 42%
• comparative evaluations 28%
• accuracy 28%
• output 28%
• performance 14%
• image processing 14%
• evaluation 14%
• blood 14%
• validation 14%
• architecture 14%
• algorithms 14%
• metrics 14%
• ground truth 14%

Engineering

• Convolutional Neural Network 100%
• Biomedical Application 66%
• Processing Technique 33%
• Metrics 33%
• Network Application 33%
• Image Processing 33%
• Convolutional Layer 33%
• Output Layer 33%
• Activation Function 33%
• Network Model 33%
• Processing Algorithm 33%
• Pixel Accuracy 33%
• Input Layer 33%