A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images.
Objective: To develop a deep learning-based artificial intelligence (AI) scheme for predicting the likelihood of the ground-glass nodule (GGN) detected on CT images being invasive adenocarcinoma (IA) and also compare the accuracy of this AI scheme with that of two radiologists.Methods: First, we ret...
| Publicado en: | European Radiology Vol. 30; no. 4; pp. 1847 - 1856 |
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| Autores principales: | , , , , , , |
| Formato: | diagnostic images equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2020
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| Acceso en línea: | Ver este registro en EBSCOhost |