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Journals >
Acta Optica Sinica >
Volume 38 >
Issue 8 >
Page 0815023 > Article
Acta Optica Sinica
Vol. 38, Issue 8, 0815023 (2018)
Pulmonary Fissure Detection Based on Shape Features
Yuanyuan Peng
*
and Changyan Xiao
Author Affiliations
College of Electrical and Information Engineering, Hunan University, Changsha, Hunan 410000, China
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DOI:
10.3788/AOS201838.0815023
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Yuanyuan Peng, Changyan Xiao. Pulmonary Fissure Detection Based on Shape Features[J]. Acta Optica Sinica, 2018, 38(8): 0815023
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Fig. 1.
Flow chart of pulmonary fissure detection
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Fig. 2.
(a) DoS filter analysis; (b) DoS kernel orientation
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Fig. 3.
(a) Original image; (b) θmax; (c) θmin
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Fig. 4.
(a) Pulmonary fissure enhancement; (b) sagittal plane; (c) coronal plane; (d) axial plane
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Fig. 5.
Treating processes. (a) Pulmonary fissure enhancement; (b) multi-plate processing; (c) pulmonary fissure identification
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Fig. 6.
Pulmonary fissure segmentation. (a) Pulmonary fissure identification; (b) surface curvature; (c) pulmonary fissure segmentation; (d) the black rectangle is zoomed for investigation in Fig. (b)
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Fig. 7.
(a)(g) Manual reference; (b)(h) proposed method; (c)(i) DoS method; (d)(j) Fissureness method; (e)(k) Wiemker method; (f)(l) Klinder method
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Fig. 8.
Quantitative evaluation
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Abstract
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Yuanyuan Peng, Changyan Xiao. Pulmonary Fissure Detection Based on Shape Features[J]. Acta Optica Sinica, 2018, 38(8): 0815023
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Paper Information
Category: Machine Vision
Received: Mar. 19, 2018
Accepted: May. 29, 2018
Published Online: Aug. 13, 2018
The Author Email:
DOI:
10.3788/AOS201838.0815023
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