Automated detection of erythema migrans and other confounding skin lesions via deep learning

Medicine & Life Sciences

• Deep Learning 100%
• Erythema 76%
• Lyme Disease 44%
• Skin 39%
• Acute Disease 29%
• Tinea 23%
• Herpes Zoster 20%
• Mid-Atlantic Region 15%
• Datasets 14%
• Exanthema 9%
• Ambulatory Care Facilities 8%
• ROC Curve 7%
• Longitudinal Studies 7%
• Area Under Curve 7%
• Early Diagnosis 7%
• Primary Health Care 7%
• Referral and Consultation 6%
• Physicians 5%
• Confidence Intervals 5%
• Morbidity 5%
• Therapeutics 2%

Engineering & Materials Science

• Deep learning 64%
• Skin 62%
• Deep neural networks 28%
• Convolutional neural networks 26%