Search

Your search keyword '"computer assisted detection"' showing total 2 results
Start Over Descriptor "computer assisted detection" Publisher ict academy of tamil nadu
2 results on '"computer assisted detection"'

1. CANDIDATE TREE-IN-BUD PATTERN SELECTION AND CLASSIFICATION USING BALL SCALE ENCODING ALGORITHM

Author

T. Akilandeswari, N. Balaganesh, and S. RadhaKrishnan

Subjects
Computer Assisted Detection, Tree in Bud Opacities, Fuzzy Connectedness, Ball Scale encoding, Wilmore Energy Features, Support Vector Machine, Computer engineering. Computer hardware, TK7885-7895
Abstract

Asthma, Chronic obstructive pulmonary disease, influenza, pneumonia, tuberculosis, lung cancer and many other breathing problems are the leading causes of death and disability all over the world. These diseases affect the lung. Radiology is a primary assessing method with low specificity of the prediction of the presence of these diseases. Computer Assisted Detection (CAD) will help the specialists in detecting one of these diseases in an early stage. A method has been proposed by Ulas Bagci to detect lung abnormalities using Fuzzy connected object estimation, Ball scale encoding and comparing various features extracted from local patches of the lung images (CT scan). In this paper, the Tree-in-Bud patterns are selected after segmentation by using ball scale encoding algorithm.

Published
2013

2. CANDIDATE TREE-IN-BUD PATTERN SELECTION AND CLASSIFICATION USING BALL SCALE ENCODING ALGORITHM

Author

S. RadhaKrishnan, T. Akilandeswari, and N. Balaganesh

Subjects
Tuberculosis, Support Vector Machine, lcsh:Computer engineering. Computer hardware, Fuzzy Connectedness, Computer science, Pulmonary disease, Computed tomography, lcsh:TK7885-7895, Bioinformatics, Computer Assisted Detection, medicine, Ball Scale encoding, Segmentation, Lung cancer, Lung, medicine.diagnostic_test, business.industry, Pattern recognition, Breathing problems, medicine.disease, Pattern selection, respiratory tract diseases, medicine.anatomical_structure, Wilmore Energy Features, Encoding algorithm, Artificial intelligence, business, Tree in Bud Opacities
Abstract

Asthma, Chronic obstructive pulmonary disease, influenza, pneumonia, tuberculosis, lung cancer and many other breathing problems are the leading causes of death and disability all over the world. These diseases affect the lung. Radiology is a primary assessing method with low specificity of the prediction of the presence of these diseases. Computer Assisted Detection (CAD) will help the specialists in detecting one of these diseases in an early stage. A method has been proposed by Ulas Bagci to detect lung abnormalities using Fuzzy connected object estimation, Ball scale encoding and comparing various features extracted from local patches of the lung images (CT scan). In this paper, the Tree-in-Bud patterns are selected after segmentation by using ball scale encoding algorithm.

Published
2013

Catalog

Books, media, physical & digital resources
See catalog results