Efficient pulmonary nodules classification using radiomics and different artificial intelligence strategies

OBJECTIVES: This study aimed to explore and develop artificial intelligence approaches for efficient classification of pulmonary nodules based on CT scans. MATERIALS AND METHODS: A number of 1007 nodules were obtained from 551 patients of LIDC-IDRI dataset. All nodules were cropped into 64 × 64 PNG...

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Detalles Bibliográficos
Autores principales: Saied, Mohamed, Raafat, Mourad, Yehia, Sherif, Khalil, Magdy M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10195968/
https://www.ncbi.nlm.nih.gov/pubmed/37199791
http://dx.doi.org/10.1186/s13244-023-01441-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10195968/
https://www.ncbi.nlm.nih.gov/pubmed/37199791
http://dx.doi.org/10.1186/s13244-023-01441-6

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