Preparing CT imaging datasets for deep learning in lung nodule analysis: Insights from four well-known datasets

Background: Deep learning is an important means to realize the automatic detection, segmentation, and classification of pulmonary nodules in computed tomography (CT) images. An entire CT scan cannot directly be used by deep learning models due to image size, image format, image dimensionality, and o...

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Detalles Bibliográficos
Autores principales: Wang, Jingxuan, Sourlos, Nikos, Zheng, Sunyi, van der Velden, Nils, Pelgrim, Gert Jan, Vliegenthart, Rozemarijn, van Ooijen, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361226/
https://www.ncbi.nlm.nih.gov/pubmed/37484314
http://dx.doi.org/10.1016/j.heliyon.2023.e17104

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10361226/
https://www.ncbi.nlm.nih.gov/pubmed/37484314
http://dx.doi.org/10.1016/j.heliyon.2023.e17104

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