Pseudo Skin Image Generator (PSIG-Net): Ambiguity-free sample generation and outlier control for skin lesion classification

Keyphrases

• Free Samples 100%
• Skin Images 100%
• Pseudo Sample 100%
• Image Generator 100%
• Sample Generation 100%
• Skin Lesion Classification 100%
• Ambiguity-free 100%
• Training Data 75%
• Model Performance 25%
• Processing Stages 25%
• Image Classification 25%
• Diagnostic Performance 25%
• Melanoma 25%
• Network Model 25%
• Density-based 25%
• Close Relationships 25%
• Skin Lesions 25%
• Generator Network 25%
• Low Variation 25%
• Competitive Results 25%
• Deep Learning Model 25%
• Siamese 25%
• Generative Adversarial Networks 25%
• Dermoscopic Images 25%
• Inter-class Similarity 25%
• Ambiguous Samples 25%
• Skin Lesion Datasets 25%

Engineering

• Similarities 100%
• Original Sample 100%
• Network Model 50%
• Processing Stage 50%
• Deep Learning 50%
• Image Classification 50%

Computer Science

• Training Data 100%
• Processing Stage 33%
• Performance Model 33%
• Image Classification 33%
• Deep Learning Model 33%
• Generative Adversarial Networks 33%
• Make Breakthrough 33%
• Generator Network 33%