A Web Database for Computer-Aided Detection and Diagnosis of Medical Images
Identifieur interne : 000C88 ( Main/Exploration ); précédent : 000C87; suivant : 000C89A Web Database for Computer-Aided Detection and Diagnosis of Medical Images
Auteurs : Dave Tahmoush [États-Unis] ; Hanan Samet [États-Unis]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2008.
Abstract
Abstract: Building effective Computer-Aided Detection and Diagnosis (CAD) systems involves the combination of running experiments, image markup, security, analysis, evaluation, feature extraction, and feature combination in order to capture and evaluate medical images effectively. This requires the involvement of a large community of experts across several fields. We have created a CAD development system which integrates the community together without requiring disclosure of sensitive details. The system design enables researchers to upload their feature sets and quickly compare the effectiveness of their methods against other stored feature sets. Additionally, research into the techniques used by radiologists is possible through double-blind radiologist comparisons based on their annotations and feature markups. This research archive contains the essential technologies of secure transmission and storage, textual and feature searches, spatial searches, annotation searching, filtering of result sets, feature creation, and bulk loading of features, while creating a repository and testbed for the community.
Url:
DOI: 10.1007/978-3-540-70538-3_37
Affiliations:
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Le document en format XML
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This requires the involvement of a large community of experts across several fields. We have created a CAD development system which integrates the community together without requiring disclosure of sensitive details. The system design enables researchers to upload their feature sets and quickly compare the effectiveness of their methods against other stored feature sets. Additionally, research into the techniques used by radiologists is possible through double-blind radiologist comparisons based on their annotations and feature markups. This research archive contains the essential technologies of secure transmission and storage, textual and feature searches, spatial searches, annotation searching, filtering of result sets, feature creation, and bulk loading of features, while creating a repository and testbed for the community.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Maryland</li></region><settlement><li>College Park (Maryland)</li></settlement><orgName><li>Université du Maryland</li></orgName></list><tree><country name="États-Unis"><region name="Maryland"><name sortKey="Tahmoush, Dave" sort="Tahmoush, Dave" uniqKey="Tahmoush D" first="Dave" last="Tahmoush">Dave Tahmoush</name></region><name sortKey="Samet, Hanan" sort="Samet, Hanan" uniqKey="Samet H" first="Hanan" last="Samet">Hanan Samet</name><name sortKey="Tahmoush, Dave" sort="Tahmoush, Dave" uniqKey="Tahmoush D" first="Dave" last="Tahmoush">Dave Tahmoush</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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