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Exploring convolutional neural networks with transfer learning for diagnosing Lyme disease from skin lesion images

Hossain, Sk Imran et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionimage-and-video-processingmachine-learning
Lyme disease which is one of the most common infectious vector-borne diseases manifests itself in most cases with erythema migrans (EM) skin lesions. Recent studies show that convolutional neural networks (CNNs) perform well to identify skin lesions from images. Lightweight CNN based pre-scanner app
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