Automated Quantification of Pneumonia Infected Volume in Lung CT Images: A Comparison with Subjective Assessment of Radiologists

Objective: To help improve radiologists’ efficacy of disease diagnosis in reading computed tomography (CT) images, this study aims to investigate the feasibility of applying a modified deep learning (DL) method as a new strategy to automatically segment disease-infected regions and predict disease s...

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Detalles Bibliográficos
Autores principales: Mirniaharikandehei, Seyedehnafiseh, Abdihamzehkolaei, Alireza, Choquehuanca, Angel, Aedo, Marco, Pacheco, Wilmer, Estacio, Laura, Cahui, Victor, Huallpa, Luis, Quiñonez, Kevin, Calderón, Valeria, Gutierrez, Ana Maria, Vargas, Ana, Gamero, Dery, Castro-Gutierrez, Eveling, Qiu, Yuchen, Zheng, Bin, Jo, Javier A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10044796/
https://www.ncbi.nlm.nih.gov/pubmed/36978712
http://dx.doi.org/10.3390/bioengineering10030321

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10044796/
https://www.ncbi.nlm.nih.gov/pubmed/36978712
http://dx.doi.org/10.3390/bioengineering10030321

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