Abstract
Online Feature Selection for Classifying Emphysema in HRCT Images
Highlights
THigh Resolution Computer Tomography is a valuable imaging modality for assessing diffuse lung diseases and in particular, emphysema
In the High Resolution Computer Tomography (HRCT) domain, the potential feature space is enormous and only a few features can be held in memory at any given time. We show that this is a natural fit for online feature selection (OFS) and is an approach that can outperform existing algorithms for emphysema classification
The aim of performance evaluation is to compare the level of effort expended between algorithm-based classification versus manual classification of the same job
Summary
THigh Resolution Computer Tomography is a valuable imaging modality for assessing diffuse lung diseases and in particular, emphysema. Quantitative image analysis, a useful extension of visual evaluation of the CT scans, is of great assistance for radiologists performing diagnosis. HRCT scans have high specificity for diagnosing emphysema and are the most accurate means of emphysema diagnosis in determining its type and extent. Visual evaluation by medical experts usually overestimates the percentage of damaged lung area. There is a need for an objective and accurate technique to detect and quantify emphysema that is useful to radiologists
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Computational Intelligence Systems
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
