Integration of convolutional neural networks for pulmonary nodule malignancy assessment in a lung cancer classification pipeline-Reference-Cited by-同舟云学术

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Integration of convolutional neural networks for pulmonary nodule malignancy assessment in a lung cancer classification pipeline

Published:2020-03 Issue: Volume:185 Page:105172
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Bonavita Ilaria,Rafael-Palou Xavier,Ceresa Mario,Piella Gemma,Ribas Vicent,González Ballester Miguel A.

Funder

AGAUR

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference37 articles.

1. Automated pulmonary nodule detection system in computed tomography images: a hierarchical block classification approach;Choi;Entropy,2013

2. Lung CT Screening Reporting and Data System (Lung-RADS);American College of Radiology,2014

3. Guidelines for management of small pulmonary nodules detected on CT scans: a statement from the fleischner society;MacMahon;Radiology,2005

4. Reduced lung-cancer mortality with low-dose computed tomographic screening;Team;N. Engl. J. Med.,2011

5. Overdiagnosis in low-dose computed tomography screening for lung cancer;Patz;JAMA Intern. Med.,2014

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