Initial experience of a deep learning application for the differentiation of Kikuchi-Fujimoto’s disease from tuberculous lymphadenitis on neck CECT

Neck contrast-enhanced CT (CECT) is a routine tool used to evaluate patients with cervical lymphadenopathy. This study aimed to evaluate the ability of convolutional neural networks (CNNs) to classify Kikuchi-Fujimoto’s disease (KD) and cervical tuberculous lymphadenitis (CTL) on neck CECT in patien...

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Detalles Bibliográficos
Autores principales: Kim, Byung Hun, Lee, Changhwan, Lee, Ji Young, Tae, Kyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391448/
https://www.ncbi.nlm.nih.gov/pubmed/35986073
http://dx.doi.org/10.1038/s41598-022-18535-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391448/
https://www.ncbi.nlm.nih.gov/pubmed/35986073
http://dx.doi.org/10.1038/s41598-022-18535-8

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