CONTENT-BASED IMAGE RETRIEVAL ON CT COLONOGRAPHY USING ROTATION AND SCALE INVARIANT FEATURES AND BAG-OF-WORDS MODEL

被引：9

作者：

Aman, Javed M. ^{[1
]}

Yao, Jianhua ^{[1
]}

Summers, Ronald M. ^{[1
]}

机构：

[1] NIH, Imaging Biomarkers & Comp Aided Diag Lab, Radiol & Imaging Sci Dept, Ctr Clin, Bethesda, MD 20892 USA

来源：

2010 7TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO | 2010年

关键词：

Content-Based Image Retrieval; CT Colonography; Computer-Aided Detection; Bag-of-Words; Scale Invariant Features; AIDED POLYP DETECTION;

D O I：

10.1109/ISBI.2010.5490249

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

We present a content-based image retrieval (CBIR) paradigm to enhance computed tomographic colonography computer-aided detection (CTCCAD). Our method uses scale-invariant feature transform (SIFT) features in conjunction with the bag-of-words model to describe and differentiate 3D images of CTCCAD detections. We evaluate the performance of our system using both digital colon phantoms and detections form CTCCAD. Our method shows promise in distinguishing common structures found within the colon.

引用

页码：1357 / 1360

页数：4

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