An Effective Method for Lung Cancer Diagnosis from CT Scan Using Deep Learning-Based Support Vector Network

SIMPLE SUMMARY: This study provides an efficient method for lung cancer diagnosis from computed tomography images and employs deep learning-supported support vector machine. Experimental results indicates that the proposed approach yields a 94% accuracy and performs better than existing models. ABST...

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Detalles Bibliográficos
Autores principales: Shafi, Imran, Din, Sadia, Khan, Asim, Díez, Isabel De La Torre, Casanova, Ramón del Jesús Palí, Pifarre, Kilian Tutusaus, Ashraf, Imran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657078/
https://www.ncbi.nlm.nih.gov/pubmed/36358875
http://dx.doi.org/10.3390/cancers14215457

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9657078/
https://www.ncbi.nlm.nih.gov/pubmed/36358875
http://dx.doi.org/10.3390/cancers14215457

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