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Multimodal Analysis of Unbalanced Dermatological Data for Skin Cancer Recognition

Multimodal Analysis of Unbalanced Dermatological Data for Skin Cancer Recognition

To date, skin cancer is the most commonly diagnosed form of cancer in humans and is one of the leading causes of death in cancer patients. AI technologies can match and exceed visual analysis methods in accuracy, but they carry the risk of a false negative response when a malignant pigmented lesion...

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Bibliografiska uppgifter
Huvudupphovsmän: Lyakhov, P. A., Ляхов, П. А., Lyakhova, U. A., Ляхова, У. А., Kalita, D. I., Калита, Д. И.
Materialtyp: Статья
Språk:English
Publicerad: 2023
Ämnen:
Multimodal neural networks
Skin cancer
Artificial intelligence
Cost-sensitive learning
Imbalanced classification
Melanoma
Länkar:https://dspace.ncfu.ru/handle/20.500.12258/26225
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https://dspace.ncfu.ru/handle/20.500.12258/26225

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