scholarly journals Feature selection for computer-aided polyp detection using MRMR

2010 ◽  
Author(s):  
Xiaoyun Yang ◽  
Boray Tek ◽  
Gareth Beddoe ◽  
Greg Slabaugh
Keyword(s):  
Feature Selection ◽  
Polyp Detection ◽  
Computer Aided ◽  
Selection For

Feature selection for computer-aided polyp detection using genetic algorithms

2003 ◽  
Author(s):  
Meghan T. Miller ◽  
Anna K. Jerebko ◽  
James D. Malley ◽  
Ronald M. Summers
Keyword(s):  
Genetic Algorithms ◽  
Feature Selection ◽  
Polyp Detection ◽  
Computer Aided ◽  
Selection For

AN EFFICIENT FEATURE SELECTION ALGORITHM FOR COMPUTER-AIDED POLYP DETECTION

2006 ◽  
Vol 15 (06) ◽  
pp. 893-915 ◽  
Author(s):  
JIANG LI ◽  
JIANHUA YAO ◽  
RONALD M. SUMMERS ◽  
NICHOLAS PETRICK ◽  
MICHAEL T. MANRY ◽  
...  
Keyword(s):  
Feature Selection ◽  
Cross Validation ◽  
Search Algorithm ◽  
Piecewise Linear ◽  
Least Square ◽  
Support Vector ◽  
Selection Algorithm ◽  
Feature Selection Algorithm ◽  
Polyp Detection ◽  
Computer Aided

We present an efficient feature selection algorithm for computer aided detection (CAD) computed tomographic (CT) colonography. The algorithm (1) determines an appropriate piecewise linear network (PLN) model by cross validation, (2) applies the orthonormal least square (OLS) procedure to the PLN model utilizing a Modified Schmidt procedure, and (3) uses a floating search algorithm to select features that minimize the output variance. The undesirable "nesting effect" is prevented by the floating search approach, and the piecewise linear OLS procedure makes this algorithm very computationally efficient because the Modified Schmidt procedure only requires one data pass during the whole searching process. The selected features are compared to those obtained by other methods, through cross validation with support vector machines (SVMs).

Feature Selection for Computer-Aided Angle Closure Glaucoma Mechanism Detection

2012 ◽  
Vol 2 (4) ◽  
pp. 438-444 ◽  
Author(s):  
Adrianto Wirawan ◽  
Chee Keong Kwoh ◽  
Paul Tec Kuan Chew ◽  
Maria Cecilia D. Aquino ◽  
Seng Chee Loon ◽  
...  
Keyword(s):  
Feature Selection ◽  
Angle Closure Glaucoma ◽  
Angle Closure ◽  
Computer Aided ◽  
Selection For

Predictive Deconvolution and Hybrid Feature Selection for Computer-Aided Detection of Prostate Cancer

2010 ◽  
Vol 29 (2) ◽  
pp. 455-464 ◽  
Author(s):  
Simona Maggio ◽  
Alessandro Palladini ◽  
Luca De Marchi ◽  
Martino Alessandrini ◽  
Nicolò Speciale ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Feature Selection ◽  
Computer Aided Detection ◽  
Predictive Deconvolution ◽  
Computer Aided ◽  
Selection For

Computer aided feature selection for enhanced analogue system fault location

1978 ◽  
Vol 10 (4) ◽  
pp. 265-280 ◽  
Author(s):  
K.C. Varghese ◽  
J. Hywel Williams ◽  
D.R. Towill
Keyword(s):  
Feature Selection ◽  
Fault Location ◽  
Computer Aided ◽  
Selection For ◽  
Analogue System

Deep sparse feature selection for computer aided endoscopy diagnosis

2015 ◽  
Vol 48 (3) ◽  
pp. 907-917 ◽  
Author(s):  
Yang Cong ◽  
Shuai Wang ◽  
Ji Liu ◽  
Jun Cao ◽  
Yunsheng Yang ◽  
...  
Keyword(s):  
Feature Selection ◽  
Computer Aided ◽  
Selection For ◽  
Sparse Feature Selection
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