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A Soft Robotic Hand Pad with Active Balancing Contact Force of All Fingers 会议论文
IEEE International Conference on Control and Automation, ICCA
作者: Wang, Y.; Wang, H.; Liu, M.; Lin, P.; Hu, Y.

收藏 | 浏览/下载：10/0 | 提交时间：2019/12/30

Force control Robotics Active balancing Biological targets Contact forces Grasping objects Manipulated objects Medical fields Robotic devices System structures Safety factor

收藏 | 浏览/下载：12/0 | 提交时间：2019/12/05

Active contour Intensity inhomogeneity Bias fields Similarity theory Medical image segmentation Level set

Determination of the Impact of Electronic Health Information Systems upon Medical, Medical Backing and Administrative Business Fields in Al-Kindy Teaching Hospital 期刊论文
nursing national Iraqi specility, 2016, 卷号: Vol.29 No.1, 页码: 11-21
作者: BasimaJ.Jassimباسمهجاسم; MohammedF.Khalifaمحمدخليفه

收藏 | 浏览/下载：2/0 | 提交时间：2019/12/24

Electronic Health Information Systems Medical staff Medical Backing staff Administrative staff Business fields Electronic Health Information Systems Medical staff Medical Backing staff Administrative staff Business fields

An efficient similarity-based level set model for medical image segmentation 期刊论文
JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING, 2016, 卷号: 10, 期号: 8
作者: Yu, Haiping; He, Fazhi; Pan, Yiteng; Chen, Xiao

收藏 | 浏览/下载：5/0 | 提交时间：2019/12/05

Active contour Intensity inhomogeneity Bias fields Similarity theory Medical image segmentation Level set

Multi-focus image fusion algorithm based on adaptive PCNN and wavelet transform (EI CONFERENCE) 会议论文
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Wu Z.-G.; Wang M.-J.; Han G.-L.

收藏 | 浏览/下载：34/0 | 提交时间：2013/03/25

Being an efficient method of information fusion image fusion has been used in many fields such as machine vision medical diagnosis military applications and remote sensing.In this paper Pulse Coupled Neural Network (PCNN) is introduced in this research field for its interesting properties in image processing including segmentation target recognition et al. and a novel algorithm based on PCNN and Wavelet Transform for Multi-focus image fusion is proposed. First the two original images are decomposed by wavelet transform. Then based on the PCNN a fusion rule in the Wavelet domain is given. This algorithm uses the wavelet coefficient in each frequency domain as the linking strength so that its value can be chosen adaptively. Wavelet coefficients map to the range of image gray-scale. The output threshold function attenuates to minimum gray over time. Then all pixels of image get the ignition. So the output of PCNN in each iteration time is ignition wavelet coefficients of threshold strength in different time. At this moment the sequences of ignition of wavelet coefficients represent ignition timing of each neuron. The ignition timing of PCNN in each neuron is mapped to corresponding image gray-scale range which is a picture of ignition timing mapping. Then it can judge the targets in the neuron are obvious features or not obvious. The fusion coefficients are decided by the compare-selection operator with the firing time gradient maps and the fusion image is reconstructed by wavelet inverse transform. Furthermore by this algorithm the threshold adjusting constant is estimated by appointed iteration number. Furthermore In order to sufficient reflect order of the firing time the threshold adjusting constant is estimated by appointed iteration number. So after the iteration achieved each of the wavelet coefficient is activated. In order to verify the effectiveness of proposed rules the experiments upon Multi-focus image are done. Moreover comparative results of evaluating fusion quality are listed. The experimental results show that the method can effectively enhance the edge details and improve the spatial resolution of the image. 2011 SPIE.

Studies on wave field of extracorporeal focused shock wave therapy system 会议论文
2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011, Shanghai, China, October 15, 2011 - October 17, 2011
作者: Wang, Wei; Hu, Lintao; Deng, Yun; Wang, Na; Sun, Jian

收藏 | 浏览/下载：3/0 | 提交时间：2017/01/18

Computer simulation Acoustic fields Disease control Information science Shock waves Tissue Tissue engineering Ultrasonics EFSWT Human tissues LabViEW Measured data Medical Devices Model-based OPC Non-invasive technology Shock wave therapy Standard analysis Tissue treatment Transducer parameters Ultrasonic theory Ultrasound fields Ultrasound pressure Wavefields

13. The Influenza Futures Markets 期刊论文
Forecasting in Financial and Sports Gambling Markets: Adaptive Drift Modeling, 2011, 页码: 239-245
作者: WilliamS.Mallios

收藏 | 浏览/下载：4/0 | 提交时间：2020/01/04

influenza futures markets - markets for expert information retrieval Iowa Electronic Market , operating influenza futures markets - closed, invitation-only market with health care fields' medical professionals and scientists seasonal time series modeling, approach - and ARMA type processes or periodic regression

Rapid image registration based on local grey scale gradient characteristics 期刊论文
2010, 2010
Wen Jiangtao; Wang Boxiong; Qin Yao

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Automated coronary arterial tree extraction using morphological and dynamic programming segmentation 期刊论文
2010, 2010
Xu Yan; Hu Guangshu; Geng Jinzhao; Shang Lihua

收藏 | 浏览/下载：6/0

Automated coronary arterial tree extraction using parallel and topology 期刊论文
2010, 2010
Xu Yan; Hu Guang-Shu; Geng Jin-Zhao; Shang Li-Hua

收藏 | 浏览/下载：3/0

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