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...

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Detalles Bibliográficos
Autores principales: Lyakhov, Pavel Alekseevich, Lyakhova, Ulyana Alekseevna, Nagornov, Nikolay Nikolaevich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

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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