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

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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Bibliographic Details
Main Authors: Jingxuan Wang, Nikos Sourlos, Sunyi Zheng, Nils van der Velden, Gert Jan Pelgrim, Rozemarijn Vliegenthart, Peter van Ooijen
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Heliyon
Subjects:
Deep learning
Lung nodule dataset
Data access and download
Data annotation
Data preprocessing
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023043128

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http://www.sciencedirect.com/science/article/pii/S2405844023043128

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