Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Heng-Yu Kuo"'
Autor:
Gen-Min Lin, Mei-Juan Chen, Chia-Hung Yeh, Yu-Yang Lin, Heng-Yu Kuo, Min-Hui Lin, Ming-Chin Chen, Shinfeng D. Lin, Ying Gao, Anran Ran, Carol Y. Cheung
Publikováno v:
Journal of Ophthalmology, Vol 2018 (2018)
Entropy images, representing the complexity of original fundus photographs, may strengthen the contrast between diabetic retinopathy (DR) lesions and unaffected areas. The aim of this study is to compare the detection performance for severe DR betwee
Externí odkaz:
https://doaj.org/article/584ed602965e4af88c63899477275286
Autor:
Heng-Yu Kuo, 郭恆宇
106
As the development of network and multimedia, color quantization plays an important role. In the technology of digital image, color quantization not only reduces the cost of data storage but also saves the network bandwidth and transmission
As the development of network and multimedia, color quantization plays an important role. In the technology of digital image, color quantization not only reduces the cost of data storage but also saves the network bandwidth and transmission
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/j6us99
Autor:
Heng-Yu Kuo, 郭恆妤
96
Formerly, we evaluate bond by bond spread which represent investors assume credit risk and is substituted for CDS. But Longstaff, Mithal, and Neis(2005) find the non-default component in bonds to be significant and Chen, Cheng, and Wu(2005) f
Formerly, we evaluate bond by bond spread which represent investors assume credit risk and is substituted for CDS. But Longstaff, Mithal, and Neis(2005) find the non-default component in bonds to be significant and Chen, Cheng, and Wu(2005) f
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/r65y48
Autor:
Min Hui Lin, Yu Yang Lin, Anran Ran, Ying Gao, Shinfeng D. Lin, Ming Chin Chen, Heng Yu Kuo, Carol Y. Cheung, Gen-Min Lin, Mei-Juan Chen, Chia-Hung Yeh
Publikováno v:
Journal of Ophthalmology, Vol 2018 (2018)
Journal of Ophthalmology
Journal of Ophthalmology
Entropy images, representing the complexity of original fundus photographs, may strengthen the contrast between diabetic retinopathy (DR) lesions and unaffected areas. The aim of this study is to compare the detection performance for severe DR betwee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d11b58d556bcfc29dcf02866ec3258be