Massive-training artificial neural network (MTANN) for reduction of false positives in computer-aided detection of polyps: Suppression of rectal tubes

2006 ◽  
Vol 33 (10) ◽  
pp. 3814-3824 ◽  
Author(s):  
Kenji Suzuki ◽  
Hiroyuki Yoshida ◽  
Janne Näppi ◽  
Abraham H. Dachman
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
False Positives ◽  
Computer Aided Detection ◽  
Computer Aided ◽  
Artificial Neural

TU-EE-A3-04: Massive Training Artificial Neural Network (MTANN) to Reduce False Positives Due to Rectal Tubes in Computer-Aided Polyp Detection

2006 ◽  
Vol 33 (6Part17) ◽  
pp. 2208-2208
Author(s):  
K Suzuki ◽  
H Yoshida ◽  
J Nappi ◽  
S Armato ◽  
A Dachman
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
False Positives ◽  
Polyp Detection ◽  
Computer Aided ◽  
Artificial Neural

scholarly journals Computer-aided detection of mammographic microcalcifications: Pattern recognition with an artificial neural network

1995 ◽  
Vol 22 (10) ◽  
pp. 1555-1567 ◽  
Author(s):  
Heang-Ping Chan ◽  
Shih-Chung B. Lo ◽  
Berkman Sahiner ◽  
Kwok Leung Lam ◽  
Mark A. Helvie
Keyword(s):  
Neural Network ◽  
Pattern Recognition ◽  
Artificial Neural Network ◽  
Computer Aided Detection ◽  
Computer Aided ◽  
Artificial Neural

A real time computer aided object detection of nasopharyngeal carcinoma using genetic algorithm and artificial neural network based on Haar feature fear

2018 ◽  
Vol 89 ◽  
pp. 539-547 ◽  
Author(s):  
Mazin Abed Mohammed ◽  
Mohd Khanapi Abd Ghani ◽  
N. Arunkumar ◽  
Raed Ibraheem Hamed ◽  
Mohamad Khir Abdullah ◽  
...  
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Artificial Neural Network ◽  
Nasopharyngeal Carcinoma ◽  
Object Detection ◽  
Real Time ◽  
Computer Aided ◽  
Haar Feature ◽  
Artificial Neural
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