Adaptive kernel based multiple kernel learning for computer-aided polyp detection in CT colonography
نویسندگان
چکیده
منابع مشابه
Polyp Segmentation Method for CT Colonography Computer Aided Detection
We have developed a new method employing the Canny edge detector and Radon transformation to segment images of polyp candidates for CT colonography (CTC) computer aided polyp detection and obtain features useful for distinguishing true polyps from false positive detections. The technique is applied to two-dimensional subimages of polyp candidates selected using various 3-D shape and curvature c...
متن کاملKernel Feature Analysis for Computer-Aided Detection of Polyps in CT Colonography
A fast kernel feature analysis is presented for 3-dimensional computer-aided detection of colonic polyps on CT colonographic images. The proposed algorithm, called Accelerated Kernel Feature Analysis (AKFA), extracts salient features from a sample of unclassified patterns by use of a kernel method. Unlike other kernel-based feature selection algorithms, AKFA iteratively constructs a linear subs...
متن کاملDistributed human intelligence for colonic polyp classification in computer-aided detection for CT colonography.
PURPOSE To assess the diagnostic performance of distributed human intelligence for the classification of polyp candidates identified with computer-aided detection (CAD) for computed tomographic (CT) colonography. MATERIALS AND METHODS This study was approved by the institutional Office of Human Subjects Research. The requirement for informed consent was waived for this HIPAA-compliant study. ...
متن کاملComputer Aided Diagnosis Scheme for Polyp Detection in CT Colonography Using K-Means Clustering and SVM
CAD-CTC helps the radiologists for the automatic detection of suspicious polyps in the abdominal CT images of the colon. In this paper, a novel method is proposed in order to reduce the computational time taken by the CAD system for the detection of growth in abdominal CT images for the identification of colorectal cancer. In the proposed CAD system, segmentation of the colon is done by otsu’s ...
متن کاملBenefits of Centerline Analysis for CT Colonography Computer-Aided Polyp Detection
The purpose of this paper is to assess colonic distension and length and to evaluate a polyp matching algorithm on prone and supine studies in CT colonography (CTC) computer aided diagnosis (CAD). Our CTC CAD software was used to reconstruct the colonic surface, to compute the colon centerline and to detect spatial positions of polyps. Normalized distance along the centerline (NDAC) and colon d...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Geometry, Imaging and Computing
سال: 2015
ISSN: 2328-8876,2328-8884
DOI: 10.4310/gic.2015.v2.n1.a2