Quantifying acceptable artefact ranges for dermatologic classification algorithms
Abstract Background Many classifiers have been developed that can distinguish different types of skin lesions (e.g., benign nevi, melanoma) with varying degrees of success.1-5 However, even successfully trained classifiers may perform poorly on images that include artefacts. While problems created b...
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Wiley,
2021-06-01T00:00:00Z.
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