DocumentCode
579479
Title
Cohort Selection through Content-Based Image Retrieval: vfM A Case Study
Author
Agarwal, Mohini ; Mostafa, J.
Author_Institution
Lexical Inf., New Delhi, India
fYear
2012
fDate
27-28 Sept. 2012
Firstpage
117
Lastpage
117
Abstract
In this paper, we propose ViewFinder Medicine (vfM) for automatically identifying cohort classes for MRI scans. It involves predicting a cohort class for the heretofore unseen patient (and related images) and offering linkages to historical diagnosis data associated with the members of the predicted cohort class. The basic idea is to offer a relatively accurate cohort class for a new patient so that the cohort can be used as a baseline to understand current patient´s status and develop a treatment plan.
Keywords
biomedical MRI; content-based retrieval; medical image processing; medicine; patient treatment; MRI scans; ViewFinder Medicine; cohort class prediction; cohort selection; content-based image retrieval; historical data diagnosis; patient treatment; vfM; Alzheimer´s disease; Image retrieval; Magnetic resonance imaging; Medical diagnostic imaging; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Healthcare Informatics, Imaging and Systems Biology (HISB), 2012 IEEE Second International Conference on
Conference_Location
San Diego, CA
Print_ISBN
978-1-4673-4803-4
Type
conf
DOI
10.1109/HISB.2012.42
Filename
6366220
Link To Document