Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs.

Radiology ◽  
1996 ◽  
Vol 199 (3) ◽  
pp. 843-848 ◽  
Author(s):  
T Kobayashi ◽  
X W Xu ◽  
H MacMahon ◽  
C E Metz ◽  
K Doi
Keyword(s):  
Computer Aided Diagnosis ◽  
Lung Nodules ◽  
Computer Aided ◽  
Aided Diagnosis

scholarly journals Computer-Aided Diagnosis of Lung Nodules on CT Scans:

2010 ◽  
Vol 17 (3) ◽  
pp. 323-332 ◽  
Author(s):  
Ted Way ◽  
Heang-Ping Chan ◽  
Lubomir Hadjiiski ◽  
Berkman Sahiner ◽  
Aamer Chughtai ◽  
...  
Keyword(s):  
Computer Aided Diagnosis ◽  
Ct Scans ◽  
Lung Nodules ◽  
Computer Aided ◽  
Aided Diagnosis

scholarly journals Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM

2017 ◽  
Vol 30 (6) ◽  
pp. 812-822 ◽  
Author(s):  
Antonio Oseas de Carvalho Filho ◽  
Aristófanes Corrêa Silva ◽  
Anselmo Cardoso de Paiva ◽  
Rodolfo Acatauassú Nunes ◽  
Marcelo Gattass
Keyword(s):  
Computed Tomography ◽  
Genetic Algorithm ◽  
Phylogenetic Diversity ◽  
Computer Aided Diagnosis ◽  
Lung Nodules ◽  
Computer Aided ◽  
Aided Diagnosis

Multi-Class SVMs Based on Priority for Computer-Aided Diagnosis of Lung Nodules in CT Images

2011 ◽  
Vol 291-294 ◽  
pp. 2742-2745
Author(s):  
Qing Zhu Wang ◽  
Xin Zhu Wang ◽  
Ji Song Bie ◽  
Bin Wang
Keyword(s):  
Support Vector Machines ◽  
Sensitivity And Specificity ◽  
Ct Images ◽  
Computer Aided Diagnosis ◽  
Least Square ◽  
Support Vector ◽  
Lung Nodules ◽  
Vector Machines ◽  
Computer Aided ◽  
Aided Diagnosis

A priority based ‘One against all (OAA)’ Multi-class Least Square-Support Vector Machines is designed to remove the unclassifiable regions exist in basic OAA. POAA develops the sensitivity and specificity in Computer-aided Diagnosis (CAD) for detection of lung nodules.

Sign in / Sign up

Export Citation Format

Share Document