The Development of an Intelligent Agent to Detect and Non-Invasively Characterize Lung Lesions on CT Scans: Ready for the “Real World”?

SIMPLE SUMMARY: An “intelligent agent” based on deep learning solutions is proposed to detect and non-invasively characterize lung lesions on computed tomography (CT) scans. Our retrospective study aimed to assess the effectiveness of Retina U-Net and the convolutional neural network for computer-ai...

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Detalles Bibliográficos
Autores principales: Sollini, Martina, Kirienko, Margarita, Gozzi, Noemi, Bruno, Alessandro, Torrisi, Chiara, Balzarini, Luca, Voulaz, Emanuele, Alloisio, Marco, Chiti, Arturo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9856443/
https://www.ncbi.nlm.nih.gov/pubmed/36672306
http://dx.doi.org/10.3390/cancers15020357

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9856443/
https://www.ncbi.nlm.nih.gov/pubmed/36672306
http://dx.doi.org/10.3390/cancers15020357

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