False positive reduction in lung nodule computer-aided detection based on 3D ranklet transform

Masotti, Matteo ; Petkov, Todor (2006) False positive reduction in lung nodule computer-aided detection based on 3D ranklet transform. In: WavE 2006: Wavelets and Applications, July 10–14, 2006, Lausanne, Switzerland.
Full text available as:
[img]
Preview
PDF
Download (422kB) | Preview

Abstract

The purpose of this study is to develop a technique for reducing the number of false positives affecting lung nodule computer–aided detection in computed tomography (CT) images. Contiguous 2D regions of interest found on segmented lung areas from sections of a CT scan are merged to form volumes of interest (VOIs). Feature vectors are then computed by submitting each VOI to the 3D ranklet transform, i.e., a non–parametric, orientation–selective and multi–resolution transform developed and evaluated herein. Finally, a support vector machine classifier is used to discriminate VOIs containing nodules from those containing normal tissue. The proposed approach is evaluated on data consisting of 25 nodules marked by experienced thoracic radiologists and 1048 non–nodules randomly selected within the segmented lung volume of healthy patients. By achieving 96% of sensitivity at 1% of false positive fraction, leave–one–out performances seem to be promising.

Abstract
Document type
Conference or Workshop Item (Poster)
Creators
CreatorsAffiliationORCID
Masotti, Matteo
Petkov, Todor
Keywords
Ranklets, Support Vector Machine, Computer-Aided Detection, Lung
Subjects
DOI
Deposit date
25 Sep 2006
Last modified
16 May 2011 12:04
URI

Other metadata

This work may be freely consulted and used, may be reproduced on a permanent basis in a digital format (i.e. saving) and can be printed on paper with own personal equipment (without availing of third -parties services), for strictly and exclusively personal, research or teaching purposes, with express exclusion of any direct or indirect commercial use, unless otherwise expressly agreed between the user and the author or the right holder. It is also allowed, for the same purposes mentioned above, the retransmission via telecommunication network, the distribution or sending in any form of the work, including the personal redirection (e-mail), provided it is always clearly indicated the complete link to the page of the Alma DL Site in which the work is displayed. All other rights are reserved.

Downloads

Downloads

Staff only: View the document

^