Medical signal digital processing technique
標(biāo)簽： processing technique Medical digital
上傳時(shí)間： 2015-05-01
上傳用戶：bruce5996
The purpose of this chapter is to present a survey of recent publications concerning Medical image registration techniques. These publications will be classified according to a model based on nine salient criteria, the main dichotomy of which is extrinsic versus intrinsic methods
標(biāo)簽： publications concerning purpose chapter
上傳時(shí)間： 2015-09-19
上傳用戶：葉山豪
Wavelet-based Medical image compression 英文論文資料，醫(yī)學(xué)圖像壓縮
標(biāo)簽： Wavelet-based compression Medical image
上傳時(shí)間： 2013-12-19
上傳用戶：zmy123
Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
標(biāo)簽： Intelligence Conference Artificial European
上傳時(shí)間： 2015-11-07
上傳用戶：15736969615
3D reconstruction, Medical image processing from colons, using intel image processing for based class. This source code. Some code missing but I think you can understand it. Development version. This source code is very interesting for learning segmentation and registration from dataset. This code also has some technique about GPU image processing for ray tracing. Also learn many filter apply for transform from spatial domain to frequency domain.
標(biāo)簽： processing image reconstruction Medical
上傳時(shí)間： 2013-12-19
上傳用戶：q123321
醫(yī)學(xué)影像配準(zhǔn)（Medical Image Registration）的入門(mén)資料。其中包括： Fast Parametric Elastic Image Registration.pdf Image Registration of Sectioned Brains.pdf Mutual-information-based registration of Medical images - a survey.pdf Registration of histological serial sectionings.pdf RegistrationMethodsOverview.pdf
標(biāo)簽： Registration Image Parametric Medical
上傳時(shí)間： 2013-12-14
上傳用戶：asdfasdfd
ProQuest Medical Library全文數(shù)據(jù)庫(kù)
標(biāo)簽： ProQuest Medical Library 數(shù)據(jù)庫(kù)
上傳時(shí)間： 2013-12-23
上傳用戶：阿四AIR
From helping to assess the value of new Medical treatments to evaluating the factors that affect our opinions and behaviors, analysts today are finding myriad uses for categorical data methods. In this book we introduce these methods and the theory behind them. Statistical methods for categorical responses were late in gaining the level of sophistication achieved early in the twentieth century by methods for continuous responses. Despite influential work around 1900 by the British statistician Karl Pearson, relatively little development of models for categorical responses occurred until the 1960s. In this book we describe the early fundamental work that still has importance today but place primary emphasis on more recent modeling approaches. Before outlining
標(biāo)簽： evaluating treatments the helping
上傳時(shí)間： 2014-01-25
上傳用戶：jennyzai
3d Medical brain data
標(biāo)簽： Medical brain data 3d
上傳時(shí)間： 2014-12-08
上傳用戶：shus521
Medical image fusion by wavelet transform modulus maxima，醫(yī)學(xué)圖像融合
標(biāo)簽： transform Medical wavelet modulus
上傳時(shí)間： 2017-01-23
上傳用戶：wff
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