Computer-aided polyp detection based on image enhancement and saliency-based selection

2020 ◽  
Vol 55 ◽  
pp. 101530 ◽  
Author(s):  
Farah Deeba ◽  
Francis M. Bui ◽  
Khan A. Wahid
2006 ◽  
Vol 15 (06) ◽  
pp. 893-915 ◽  
Author(s):  
JIANG LI ◽  
JIANHUA YAO ◽  
RONALD M. SUMMERS ◽  
NICHOLAS PETRICK ◽  
MICHAEL T. MANRY ◽  
...  

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).


2010 ◽  
Author(s):  
Xiaoyun Yang ◽  
Boray Tek ◽  
Gareth Beddoe ◽  
Greg Slabaugh

2005 ◽  
Vol 129 (6) ◽  
pp. 1832-1844 ◽  
Author(s):  
Ronald M. Summers ◽  
Jianhua Yao ◽  
Perry J. Pickhardt ◽  
Marek Franaszek ◽  
Ingmar Bitter ◽  
...  

2014 ◽  
Vol 9 (4) ◽  
pp. 68-75
Author(s):  
Janapriya A.S ◽  
◽  
Mythili C ◽  
Nishanthi P ◽  
Sunitha K

2020 ◽  
Vol 115 (1) ◽  
pp. S148-S148
Author(s):  
Zain Moosvi ◽  
Sagar Shah ◽  
Ronald Ortizo ◽  
Jason Samarasena

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