4 results match your criteria: "and Hangzhou Normal University[Affiliation]"
To be or not to be: Mechanical versus biological prosthesis at the pulmonary valvular position.
J Thorac Cardiovasc Surg
October 2017
Department of Cardiovascular Surgery, TEDA International Cardiovascular Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin and Zhejiang University and Hangzhou Normal University, Hangzhou, China; Department of Surgery, Oregon Health and Science University, Portland, Ore. Electronic address:
Global Teleophthalmology With the Smartphone for Microscopic Ocular Surgery.
Eye Contact Lens
September 2016
Department of Ophthalmology (Y.Y., J.Z., X.H., H.Z.), Hangzhou First People's Hospital, Hangzhou, China; Bascom Palmer Eye Institute (J.W., H.J.), University of Miami, Miami, FL; and Hangzhou Normal University (Y.X.), Medical College, Hangzhou, China.
Purpose: This study aimed to determine the feasibility and quality of real-time video transferring in global teleophthalmology using two smartphones during microscopic ocular surgery.
Methods: An iPhone 4S (Apple) was adapted into a surgical microscope in Hangzhou, Zhejiang, China to capture video during microscopic ocular surgery. An iPhone 5 (Apple), an iPad2 (Apple), and a desktop computer were used as the receptor on the other side of the globe (Miami, FL).
Global teleophthalmology with iPhones for real-time slitlamp eye examination.
Eye Contact Lens
September 2014
Department of Opthalmology (Y.Y., J.Z., Y.H., B.C., X.H., H.Z.) Hangzhou First People's Hospital, Hangzhou, China; Bascom Palmer Eye Institute (J.W.), University of Miami, Miami, FL; and Hangzhou Normal University (Y.X.), Hangzhou, China.
Purpose: To evaluate the image resolutions in global teleophthalmology using 2 smartphones.
Methods: A standard resolution test card and two human eyes (one eye wearing a contact lens) were imaged with an iPhone 4S adapted for slitlamp biomicroscopy in Hangzhou, Zhejiang, China. An iPhone 5 was used as a receptor on the other side of the world (Miami, FL).
[Hard and soft classification method of multi-spectral remote sensing image based on adaptive thresholds].
Guang Pu Xue Yu Guang Pu Fen Xi
April 2013
Institute of Remote Sensing and Earth Sciences, College of Science, and Hangzhou Normal University, Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou 311121, China.
Hard and soft classification techniques are the conventional methods of image classification for satellite data, but they have their own advantages and drawbacks. In order to obtain accurate classification results, we took advantages of both traditional hard classification methods (HCM) and soft classification models (SCM), and developed a new method called the hard and soft classification model (HSCM) based on adaptive threshold calculation. The authors tested the new method in land cover mapping applications.
View Article and Find Full Text PDF