Deep convolutional network for breast cancer classification: Enhanced loss function (ELF)

Keyphrases

• Loss Function 100%
• Breast Cancer Classification 100%
• Deep Convolutional Network 100%
• Histopathological Images 75%
• K-means 75%
• Autoencoder 75%
• Processing Time 50%
• Classification Accuracy 25%
• Pathologist 25%
• Optimization Problem 25%
• Deep Learning 25%
• Classification Algorithms 25%
• Tissue Level 25%
• Cellular Level 25%
• Accurate Classification 25%
• System Performance 25%
• In Clustering 25%
• Breast Cancer Diagnosis 25%
• Diagnostic Errors 25%
• Computer-aided Diagnosis (CADx) 25%
• Lethal Infection 25%
• Linear Transformation 25%
• Deep Learning Algorithm 25%
• Image Accuracy 25%
• Function Problems 25%
• ResNet50 25%
• Latent Feature 25%
• Nonlinear Transformation 25%
• Stain Normalization 25%
• Loss Optimization 25%
• Clustering Results 25%
• Classification Processing 25%
• Enhanced System 25%
• State-of-the-art Models 25%

Engineering

• Loss Function 100%
• Autoencoder 75%
• Processing Time 50%
• Deep Learning Method 50%
• Optimisation Problem 25%
• Classification Accuracy 25%
• Classification Algorithm 25%
• Computer Aided Diagnosis 25%
• Systems Performance 25%
• Linear Transformation 25%

Chemical Engineering

• Deep Learning Method 100%