Risk prediction of small pulmonary nodules based on novel CT image texture markers-Reference-Cited by-同舟云学术

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Risk prediction of small pulmonary nodules based on novel CT image texture markers

Published:2017-03-03 Issue: Volume: Page:
ISSN:0277-786X
Container-title:SPIE Proceedings
language:
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Author:

Han Fangfang¹,Song Bowen²,Ma He¹,Qian Wei³,Liang Zhengrong⁴

Affiliation:

1. Northeastern Univ. (China)

2. Ocean Univ. of China (China)

3. Univ. of Texas at El Paso (United States)

4. Stony Brook Univ. (United States)

Publisher

SPIE

Reference9 articles.

1. The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans

2. Texture Feature Analysis for Computer-Aided Diagnosis on Pulmonary Nodules

3. Textural Features for Image Classification

4. Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities

5. Coregistered FDG PET/CT-based textural characterization of head and neck cancer for radiation treatment planning;Yu,2008

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Lung Nodule Detection from Feature Engineering to Deep Learning in Thoracic CT Images: a Comprehensive Review;Journal of Digital Imaging;2020-01-29

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