Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Shun-Bao Li"'
Publikováno v:
World Journal of Clinical Cases. 10:3222-3231
Publikováno v:
Open Medicine, Vol 14, Iss 1, Pp 234-240 (2019)
Open Medicine
Open Medicine
Background To analyze the cardio-protective effects of ticagrelor in patients with acute coronary syndrome with S-T segment elevation. Methods The sample was 200 patients who had been diagnosed with acute coronary syndrome accompanied by diabetes Mel
Autor:
Chun-Feng, Tian, Bai-Yu, Su, Yu-Juan, Li, Yu-Hong, Tong, Xu-Hong, Zhao, Jian-Ying, Liang, Shun-Bao, Li, Bu-Lang, Gao
Publikováno v:
Pakistan journal of pharmaceutical sciences. 29
Proper management of antibiotic-associated pseudo membranous colitis is not clear. This article is to investigate proper treatment of antibiotic-associated pseudo membranous colitis. Data of 67 patients (aged 18-69 years, with 31 males and 46 females
Publikováno v:
Applied Mechanics and Materials. :4307-4313
This paper presents a new algorithm of image matching via combining sift and shape context for improving image matching accuracy. A joint descriptor is applied to describe feature points. The initial matching is obtained by a proposed distance formul
Publikováno v:
Applied Mechanics and Materials. :2101-2107
In order to improve the security performance of the information stored in Quick Response (QR) code, this paper introduces an improved RC4 algorithm which can be used in the encryption of QR code. We add the self-error detection stage into fault induc
Publikováno v:
Open Medicine; Jan2019, Vol. 14 Issue 1, p234-240, 7p, 6 Charts
Autor:
Shun-bao Li, Yan Ma
Publikováno v:
Optoelectronics Letters. 2:383-385
A method combining eigenface with different wavelet subbands for face recognition is proposed. Each training image is decomposed into multi-subbands for extracting their eigenvector sets and projection vectors. In the recognition process, the inner p
Publikováno v:
Artificial Intelligence and Computational Intelligence ISBN: 9783642334771
AICI
AICI
This paper presents a new, simple, and efficient segmentation approach. Firstly, choose the best segmentation components among six different color spaces. Then, Histogram and SFCM techniques are applied for initialization of segmentation. Finally, fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d39757bbc3b47bc5520ecb93a1b18e0f
https://doi.org/10.1007/978-3-642-33478-8_47
https://doi.org/10.1007/978-3-642-33478-8_47
Publikováno v:
Artificial Intelligence and Computational Intelligence ISBN: 9783642334771
AICI
AICI
This paper proposes an improved color image segmentation method based on improved region growing. Firstly, the color image is transformed from RGB to YCbCr color space. Then, seed points are selected automatically and region growing algorithm has bee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3dce8a35eaa31e278a4c7c18acd5a15
https://doi.org/10.1007/978-3-642-33478-8_46
https://doi.org/10.1007/978-3-642-33478-8_46
Autor:
Chun-Feng Tian, Bai-Yu Su, Qin Zhang, Yu-Juan Li, Yu-Hong Tong, Xu-Hong Zhao, Jian-Ying Liang, Shun-Bao Li, Bu-Lang Gao
Publikováno v:
Pakistan Journal of Pharmaceutical Sciences; Sep2016 Supplement, Vol. 29, p1805-1810, 6p, 1 Color Photograph, 1 Chart