Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Changlei, Dongye"'
RGB-D SOD uses depth information to handle challenging scenes and obtain high-quality saliency maps. Existing state-of-the-art RGB-D saliency detection methods overwhelmingly rely on the strategy of directly fusing depth information. Although these m
Externí odkaz:
http://arxiv.org/abs/2207.04224
Publikováno v:
Scientific Programming, Vol 2021 (2021)
Coronavirus disease 2019 (COVID-19) has spread rapidly worldwide. The rapid and accurate automatic segmentation of COVID-19 infected areas using chest computed tomography (CT) scans is critical for assessing disease progression. However, infected are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b2bda18e3a308ab8fe6f40cf721e4e5
https://doi.org/10.1155/2021/9999368
https://doi.org/10.1155/2021/9999368
Autor:
Changlei Dongye, Hui Liu
Publikováno v:
2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT).
Accurate detection and location of pavement disease has attracted more and more research interest. Existing approaches depend heavily on manual works and expert experience, which are time-consuming and cost-effective. The paper presents an automated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ac4da9e5d2185f92e1480cfc90130f4
https://doi.org/10.1109/isctt51595.2020.00117
https://doi.org/10.1109/isctt51595.2020.00117
Autor:
Changlei Dongye, Xiang-Yu Jia
The seismic section image contains a wealth of texture detail information, which is important for the interpretation of the formation profile information. In order to enhance the texture detail of the image while keeping the structural information of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8282eccc503e814ae6fe16112072eb8
https://www.nonlin-processes-geophys-discuss.net/npg-2019-46/
https://www.nonlin-processes-geophys-discuss.net/npg-2019-46/
Autor:
David J. Wilson, Brandon J. Lujan, Acner Camino, Yali Jia, David Huang, Changlei Dongye, Alex D. Pechauer, Steven T. Bailey, Thomas S. Hwang, Miao Zhang
Publikováno v:
Quantitative Imaging in Medicine and Surgery. 6:391-401
BACKGROUND Motion artifacts degrade the quality of optical coherence tomography angiography (OCTA). Orthogonal registration can eliminate the majority of these artifacts, but some artifacts persist in most clinical images. We evaluate an automated re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53f13a6e4ef7a918ccbf0d4b2cacdba3
https://doi.org/10.21037/qims.2016.07.02
https://doi.org/10.21037/qims.2016.07.02
Autor:
Yongguo Zheng, Changlei DongYe
Publikováno v:
Journal of Computational and Theoretical Nanoscience. 13:1846-1851
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a61b52700d9730e8f19a9bb063529b65
https://doi.org/10.1166/jctn.2016.5122
https://doi.org/10.1166/jctn.2016.5122
Autor:
Thomas S. Hwang, Yali Jia, David J. Wilson, Liang Liu, Simon S. Gao, Changlei Dongye, Jie Wang, Miao Zhang, David Huang
Publikováno v:
Biomedical Optics Express. 8:1101
Automated detection and grading of angiographic high-risk features in diabetic retinopathy can potentially enhance screening and clinical care. We have previously identified capillary dilation in angiograms of the deep plexus in optical coherence tom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24cbdeb75e16ada84e9432a77e0c60eb
https://doi.org/10.1364/boe.8.001101
https://doi.org/10.1364/boe.8.001101
Publikováno v:
Journal of Software. 9
Active contour model (ACM) which has been extensively studied recently is one of the most successful methods in image segmentation. The present paper advances an improved hybrid model based on Region-Scalable Fitting Model by combining global convex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bafa1419abdf51280346d9eafcfa41bd
https://doi.org/10.4304/jsw.9.2.280-286
https://doi.org/10.4304/jsw.9.2.280-286
Publikováno v:
Investigative Ophthalmology & Visual Science
Purpose The purpose of this study was to evaluate an automated algorithm for detecting avascular area (AA) in optical coherence tomography angiograms (OCTAs) separated into three individual plexuses using a projection-resolved technique. Methods A 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3c479a6ed07b10d7b2fc5b0b172a133
https://doi.org/10.1167/iovs.16-19776
https://doi.org/10.1167/iovs.16-19776