Multi-view multi-scale CNNs for lung nodule type classification from CT images-Reference-Cited by-同舟云学术

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Multi-view multi-scale CNNs for lung nodule type classification from CT images

Published:2018-05 Issue: Volume:77 Page:262-275
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Liu Xinglong,Hou Fei,Qin Hong,Hao Aimin

Funder

National Natural Science Foundation of China

National Science Foundation of USA

Key Research Program of Frontier Sciences, CAS

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference44 articles.

1. The lung image database consortium (lidc) and image database resource initiative (idri): a completed reference database of lung nodules on ct scans;Armato III;Med. Phys.,2011

2. Vison, I. A. Group, I-elcap: international early lung cancer action program, 2013.

3. Cancer statistics, 2017;Siegel;CA-CANCER J. Clin.,2017

4. Early lung cancer action project: overall design and findings from baseline screening;Henschke;Lancet,1999

5. Solitary pulmonary nodules: part i. morphologic evaluation for differentiation of benign and malignant lesions;Erasmus;Radiographics,2000

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