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System for the recognizing of pigmented skin lesions with fusion and analysis of heterogeneous data based on a multimodal neural network

System for the recognizing of pigmented skin lesions with fusion and analysis of heterogeneous data based on a multimodal neural network

Today, skin cancer is one of the most common malignant neoplasms in the human body. Diagnosis of pigmented lesions is challenging even for experienced dermatologists due to the wide range of morphological manifestations. Artificial intelligence technologies are capable of equaling and even surpassin...

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Hlavní autoři: Lyakhov, P. A., Ляхов, П. А., Lyakhova, U. A., Ляхова, У. А., Nagornov, N. N., Нагорнов, Н. Н.
Médium: Статья
Jazyk:English
Vydáno: MDPI 2022
Témata:
Pattern recognition
Pigmented skin lesions
Convolutional neural networks
Dermatoscopic images
Digital image processing
Hair removal
Heterogeneous data
Melanoma
Metadata
Multimodal neural networks
On-line přístup:https://dspace.ncfu.ru/handle/20.500.12258/19431
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https://dspace.ncfu.ru/handle/20.500.12258/19431

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