AI-Driven Model for Automatic Emphysema Detection in Low-Dose Computed Tomography Using Disease-Specific Augmentation

The objective of this study is to evaluate the feasibility of a disease-specific deep learning (DL) model based on minimum intensity projection (minIP) for automated emphysema detection in low-dose computed tomography (LDCT) scans. LDCT scans of 240 individuals from a population-based cohort in the...

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Detalles Bibliográficos
Autores principales: Nagaraj, Yeshaswini, Wisselink, Hendrik Joost, Rook, Mieneke, Cai, Jiali, Nagaraj, Sunil Belur, Sidorenkov, Grigory, Veldhuis, Raymond, Oudkerk, Matthijs, Vliegenthart, Rozemarijn, van Ooijen, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156637/
https://www.ncbi.nlm.nih.gov/pubmed/35182291
http://dx.doi.org/10.1007/s10278-022-00599-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156637/
https://www.ncbi.nlm.nih.gov/pubmed/35182291
http://dx.doi.org/10.1007/s10278-022-00599-7

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