Lung Nodule Detection in CT Images Using a Raw Patch-Based Convolutional Neural Network-Reference-Cited by-同舟云学术

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Lung Nodule Detection in CT Images Using a Raw Patch-Based Convolutional Neural Network

Published:2019-05-06 Issue:6 Volume:32 Page:971-979
ISSN:0897-1889
Container-title:Journal of Digital Imaging
language:en
Short-container-title:J Digit Imaging

Author:

Wang Qin,Shen Fengyi,Shen Linyao,Huang Jia,Sheng Weiguang

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://link.springer.com/content/pdf/10.1007/s10278-019-00221-3.pdf

Reference40 articles.

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2. Ma L, Wang DD, Zou B, Yan H: An eigen-binding site based method for the analysis of anti-EGFR drug resistance in lung cancer treatment. IEEE/ACM Trans Comput Biol Bioinform 14(5):1187–1194, 2017

3. Kaneko M, Eguchi K, Ohmatsu H, Kakinuma R, Naruke T, Suemasu K, Moriyama N: Peripheral lung cancer: screening and detection with low-dose spiral CT versus radiography. Radiology 201(3):798–802, 1996

4. Jiang H, Ma H, Qian W et al.: An automatic detection system of lung nodule based on multi-group patch-based deep learning network. IEEE J Biomed Health Inform 22:1227–1237, 2017

5. Messay T, Hardie RC, Rogers SK: A new computationally efficient CAD system for pulmonary nodule detection in CT imagery. Med Image Anal 14(3):390–406, 2010

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