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Author Avni, Uri ♦ Greenspan, Hayit ♦ Sharon, Michal ♦ Konen, Eli ♦ Goldberger, Jacob
Source CiteSeerX
Content type Text
Publisher IEEE Press. 3
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Svm Classifier ♦ Top Scheme ♦ Efficient Image Categorization ♦ Organ-level Discrimination ♦ First Step Towards Similarity-based Categorization ♦ Local Patch Representation ♦ Clinical Importance ♦ Xray Image Categorization ♦ Discrim-inating Orientation ♦ Detailed Description ♦ Computer-assisted Diagnostics ♦ Medical Visual Retrieval ♦ Particular Large Radiograph Archive ♦ Chest X-ray Data ♦ Body Region ♦ Recent Result ♦ Image Category ♦ X-ray Image ♦ Recent International Competition ♦ Patch-based Visual Word Representation ♦ Bag-of-features Approach ♦ Rou-tine Hospital Examination ♦ Pathology-level Categorization ♦ Initial Result ♦ Retrieval Sys-tem ♦ Image Content ♦ Medical Image Database
Description We present an efficient image categorization and retrieval sys-tem applied to medical image databases, in particular large radiograph archives. The methodology presented is based on local patch representation of the image content and a bag-of-features approach for defining image categories, with a kernel based SVM classifier. In a recent international competition the system was ranked as one of the top schemes in discrim-inating orientation and body regions in x-ray images, and in medical visual retrieval. A detailed description of the method (not previously published) is presented, along with its most recent results. In addition to organ-level discrimination, we show initial results of pathology-level categorization of chest x-ray data. On a set of 102 chest radiographs taken from rou-tine hospital examination, the system detects pathology with sensitivity of 94 % and specificity of 91%. We view this as a first step towards similarity-based categorization with clinical importance in computer-assisted diagnostics. 1.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2009-01-01
Publisher Institution In ISBI’09: Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging