Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Shenda Shi"'
Autor:
Haohan Zou, Shenda Shi, Xiaoyan Yang, Jiaonan Ma, Qian Fan, Xuan Chen, Yibing Wang, Mingdong Zhang, Jiaxin Song, Yanglin Jiang, Lihua Li, Xin He, Vishal Jhanji, Shengjin Wang, Meina Song, Yan Wang
Publikováno v:
BioMedical Engineering OnLine, Vol 21, Iss 1, Pp 1-13 (2022)
Abstract Background The evaluation of refraction is indispensable in ophthalmic clinics, generally requiring a refractor or retinoscopy under cycloplegia. Retinal fundus photographs (RFPs) supply a wealth of information related to the human eye and m
Externí odkaz:
https://doaj.org/article/823ff5793b874999b825f1fec3f257b4
Publikováno v:
IEEE Access, Vol 7, Pp 178798-178810 (2019)
Traffic sign detection has achieved promising results in recent years. Nevertheless, there are still two problems remain to be overcome. One problem is the detection of small traffic signs, which usually occupy less than 2% of the image area. The oth
Externí odkaz:
https://doaj.org/article/e2d09d2ddf7043db84f1335a180fb5c2
Autor:
Haohan Zou, Shenda Shi, Xiaoyan Yang, Jiaonan Ma, Qian Fan, Xuan Chen, Yibing Wang, Mingdong Zhang, Jiaxin Song, Yanglin Jiang, Lihua Li, Xin He, Vishal Jhanji, Shengjin Wang, Meina Song, yan Wang
Background: The evaluation of refraction is indispensable in ophthalmic clinics, generally requiring a refractor or retinoscopy under cycloplegia. Retinal fundus photographs (RFPs) supply a wealth of information related to the human eye and might pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a6d3ee278457368e221773eb8f1196e
https://doi.org/10.21203/rs.3.rs-1965660/v1
https://doi.org/10.21203/rs.3.rs-1965660/v1
Autor:
Haohan Zou, Shenda Shi, Xiaoyan Yang, Jiaonan Ma, Xuan Chen, Yibing Wang, Mingdong Zhang, Jiaxin Song, Yanglin Jiang, Lihua Li, Xin He, Shengjin Wang, Meina Song, Yan Wang
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d63f275aa5c8cc9a051c319ae7ddf1d
https://doi.org/10.2139/ssrn.4098702
https://doi.org/10.2139/ssrn.4098702
Publikováno v:
IEEE Access, Vol 7, Pp 178798-178810 (2019)
Traffic sign detection has achieved promising results in recent years. Nevertheless, there are still two problems remain to be overcome. One problem is the detection of small traffic signs, which usually occupy less than 2% of the image area. The oth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ddfd84b821a25b97d4091a7c95251b6
https://ieeexplore.ieee.org/document/8931780/
https://ieeexplore.ieee.org/document/8931780/
Publikováno v:
CHIL
Retinal effusions and cysts caused by the leakage of damaged macular vessels and choroid neovascularization are symptoms of many ophthalmic diseases. Optical coherence tomography (OCT), which provides clear 10-layer cross-sectional images of the reti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bb4d12450bc29acf9db2420d41b3336
https://doi.org/10.1145/3368555.3384447
https://doi.org/10.1145/3368555.3384447
Autor:
Lu Meng, Meina Song, Liu Yu, Shenda Shi, Kang Xiaoyang, Zhonghong Ou, Jiawen He, Haihong E, Ruru Zhang, Chai Wenjun
Publikováno v:
Human Centered Computing ISBN: 9783030374280
HCC
HCC
Deep learning can effectively extract the hidden features of images and has developed rapidly in medical image recognition in recent years. Ophthalmic diseases are one of the critical factors affecting the healthy living. At the same time, optical co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbf390c127dc4279f540d8bdc1d57027
https://doi.org/10.1007/978-3-030-37429-7_63
https://doi.org/10.1007/978-3-030-37429-7_63