English  |  正體中文  |  简体中文  |  Total items :0  
Visitors :  52538476    Online Users :  878
Project Commissioned by the Ministry of Education
Project Executed by National Taiwan University Library
 
臺灣學術機構典藏系統 (Taiwan Academic Institutional Repository, TAIR)
About TAIR

Browse By

News

Copyright

Related Links

"wang xh"

Return to Browse by Author
Sorting by Title Sort by Date

Showing items 1-9 of 9  (1 Page(s) Totally)
1 
View [10|25|50] records per page

Institution Date Title Author
國立臺灣大學 2009-03 Use of submerged anaerobic-anoxic-oxic membrane bioreactor to treat highly toxic coke wastewater with complete sludge retention Zhao, WT; Huang, X; Lee, DJ; Wang, XH; Shen, YX
中國文化大學 2004 Antitumor agents. 239. isolation, structure elucidation, total synthesis, and anti-breast cancer activity of neo-tanshinlactone from Salvia miltiorrhiza Wang XH; Bastow KF; Sun CM; Lin YL; Yu HJ; Don MJ; Wu TS; Nakamura S; Lee KH
中原大學 2002-02-23 Incorporation of negative regions in a knowledge-based computer-aided detection scheme. Chang YH;Wang XH;HARDESTY Lara A. ;lHAKIM Christiane M. ;Zheng B;Good WF;Gur D.
中原大學 2000-01-08 Computerized identification of masses on digitized mammograms using a knowledge-based approach: an assessment. Chang YH;King J;Wang XH;Zheng B;Good WF.
中原大學 1999-02-23 Automatic detection of nipple and chest wall in digitized mammograms. Zheng B;Wang XH;Chang YH;Good WF.
中原大學 1999 Knowledge-based computer-aided detection of masses on digitized mammograms: a preliminary study. Chang YH;King JL;Drescher J;Wang XH;Zheng B;Good WF.
中原大學 1999 Optimizing the feature set for a Bayesian network for breast cancer diagnosis. Wang XH;Zheng B;Chang YH;Good WF.
中原大學 1998 Applying genetic algorithms for the selection of features for computer-assisted diagnosis in mammography. Zheng B;Chang YH;Good WF;Wang XH.
中原大學 1998 Comparison of artificial neural network and Bayesian belief network for computer-assisted diagnosis of breast cancer. Wang XH;Chang YH;Zheng B;Good WF.

Showing items 1-9 of 9  (1 Page(s) Totally)
1 
View [10|25|50] records per page