Automatic Pulmonary Nodule Detection Applying Deep Learning or Machine Learning Algorithms to the LIDC-IDRI Database: A Systematic Review

Automatic Pulmonary Nodule Detection Applying Deep Learning or Machine Learning Algorithms to the LIDC-IDRI Database: A Systematic Review

The aim of this study was to provide an overview of the literature available on machine learning (ML) algorithms applied to the Lung Image Database Consortium Image Collection (LIDC-IDRI) database as a tool for the optimization of detecting lung nodules in thoracic CT scans. This systematic review w...

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Bibliographic Details
Main Authors: Lea Marie Pehrson, Michael Bachmann Nielsen, Carsten Ammitzbøl Lauridsen
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Diagnostics
Subjects:
deep learning
machine learning
nodule detection
Online Access:http://www.mdpi.com/2075-4418/9/1/29

Internet

http://www.mdpi.com/2075-4418/9/1/29

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