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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Publicado en:	Journal of Digital Imaging Vol. 35; no. 3; pp. 538 - 551
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:	diagnostic images research tables/charts Journal Article
Publicado:	Springer Nature Jun2022
Acceso en línea:	Ver este registro en EBSCOhost