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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
SIMPLE SUMMARY: Skin cancer is one of the most common cancers in humans. This study aims to create a system for recognizing pigmented skin lesions by analyzing heterogeneous data based on a multimodal neural network. Fusing patient statistics and multidimensional visual data allows for finding addit...
Autores principales: | Lyakhov, Pavel Alekseevich, Lyakhova, Ulyana Alekseevna, Nagornov, Nikolay Nikolaevich |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997449/ https://www.ncbi.nlm.nih.gov/pubmed/35406591 http://dx.doi.org/10.3390/cancers14071819 |
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