PRF-RW: a progressive random forest-based random walk approach for interactive semi-automated pulmonary lobes segmentation-Reference-Cited by-同舟云学术

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PRF-RW: a progressive random forest-based random walk approach for interactive semi-automated pulmonary lobes segmentation

Published:2020-03-13 Issue:10 Volume:11 Page:2221-2235
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Li Qiang,Chen Lei,Li Xiangju,Lv Xiaofeng,Xia Shuyue,Kang Yan

Funder

National Key R&D Program of China

National Key Technology R&D Program of the Ministry of Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s13042-020-01111-9.pdf

Reference62 articles.

1. Stamatis G (2015) Staging of lung cancer: the role of noninvasive, minimally invasive and invasive techniques. Eur Respir J 46(2):521–531

2. Santosh K, Vajda S, Antani S, Thoma GR (2016) Edge map analysis in chest X-rays for automatic pulmonary abnormality screening. Int J Comput Assist Radiol Surg 11(9):1637–1646

3. Karargyris A, Siegelman J, Tzortzis D, Jaeger S, Candemir S, Xue Z, Santosh K, Vajda S, Antani S, Folio L et al (2016) Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays. Int J Comput Assist Radiol Surg 11(1):99–106

4. Santosh K, Antani S (2017) Automated chest X-ray screening: can lung region symmetry help detect pulmonary abnormalities? IEEE Trans Med Imaging 37(5):1168–1177

5. Vajda S, Karargyris A, Jaeger S, Santosh K, Candemir S, Xue Z, Antani S, Thoma G (2018) Feature selection for automatic tuberculosis screening in frontal chest radiographs. J Med Syst 42(8):146

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