| Records |
Author  |
Mirko Arnold; Anarta Ghosh; Gerard Lacey; Stephen Patchett; Hugh Mulcahy |
| Title |
Indistinct frame detection in colonoscopy videos |
Type |
Conference Article |
| Year |
2009 |
Publication |
Machine Vision and Image Processing Conference |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
47-52 |
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Edition |
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ISBN |
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Medium |
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| Area |
800 |
Expedition |
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Conference |
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| Notes |
MV |
Approved |
no |
| Call Number |
fernando @ fernando @ |
Serial |
2424 |
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| Author |
Mirko Arnold; Anarta Ghosh; Glen Doherty; Hugh Mulcahy; Stephen Patchett; Gerard Lacey |
| Title |
Towards Automatic Direct Observation of Procedure and Skill (DOPS) in Colonoscopy |
Type |
Conference Article |
| Year |
2013 |
Publication |
Proceedings of the International Conference on Computer Vision Theory and Applications |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
48-53 |
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Medium |
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| Area |
800 |
Expedition |
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Conference |
VISIGRAPP |
| Notes |
MV |
Approved |
no |
| Call Number |
fernando @ fernando @ |
Serial |
2427 |
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| Author |
Mirko Arnold; Anarta Ghosh; Stephen Ameling; G Lacey |
| Title |
Automatic segmentation and inpainting of specular highlights for endoscopic imaging |
Type |
Journal Article |
| Year |
2010 |
Publication |
EURASIP Journal on Image and Video Processing |
Abbreviated Journal |
EURASIP JIVP |
| Volume |
2010 |
Issue |
9 |
Pages |
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| Area |
800 |
Expedition |
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Conference |
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| Notes |
MV |
Approved |
no |
| Call Number |
fernando @ fernando @ |
Serial |
2423 |
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| Author |
Mirko Arnold; Stephan Ameling; Anarta Ghosh; Gerard Lacey |
| Title |
Quality Improvement of Endoscopy Videos |
Type |
Conference Article |
| Year |
2011 |
Publication |
Proceedings of the 8th IASTED International Conference on Biomedical Engineering |
Abbreviated Journal |
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| Volume |
723 |
Issue |
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Pages |
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| Area |
800 |
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| Notes |
MV |
Approved |
no |
| Call Number |
fernando @ fernando @ |
Serial |
2426 |
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| Author |
Panagiota Spyridonos; Fernando Vilariño; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
| Title |
Anisotropic Feature Extraction from Endoluminal Images for Detection of Intestinal Contractions |
Type |
Book Chapter |
| Year |
2006 |
Publication |
9th International Conference on Medical Image Computing and Computer–Assisted Intervention |
Abbreviated Journal |
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| Volume |
4191 |
Issue |
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Pages |
161–168 |
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| Abstract |
Wireless endoscopy is a very recent and at the same time unique technique allowing to visualize and study the occurrence of con- tractions and to analyze the intestine motility. Feature extraction is es- sential for getting efficient patterns to detect contractions in wireless video endoscopy of small intestine. We propose a novel method based on anisotropic image filtering and efficient statistical classification of con- traction features. In particular, we apply the image gradient tensor for mining informative skeletons from the original image and a sequence of descriptors for capturing the characteristic pattern of contractions. Fea- tures extracted from the endoluminal images were evaluated in terms of their discriminatory ability in correct classifying images as either belong- ing to contractions or not. Classification was performed by means of a support vector machine classifier with a radial basis function kernel. Our classification rates gave sensitivity of the order of 90.84% and specificity of the order of 94.43% respectively. These preliminary results highlight the high efficiency of the selected descriptors and support the feasibility of the proposed method in assisting the automatic detection and analysis of contractions. |
| Address |
Copenhagen (Denmark) |
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Thesis |
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| Publisher |
Springer Verlag |
Place of Publication |
Berlin Heidelberg |
Editor |
R. Larsen, M. Nielsen, and J. Sporring |
| Language |
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LNCS |
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Edition |
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ISBN |
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Medium |
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| Area |
800 |
Expedition |
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Conference |
MICCAI06 |
| Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ SVV2006; IAM @ iam @ SVV2006 |
Serial |
725 |
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| Author |
Rozenn Dhayot; Fernando Vilariño; Gerard Lacey |
| Title |
Improving the Quality of Color Colonoscopy Videos |
Type |
Journal Article |
| Year |
2008 |
Publication |
EURASIP Journal on Image and Video Processing |
Abbreviated Journal |
EURASIP JIVP |
| Volume |
139429 |
Issue |
1 |
Pages |
1-9 |
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Edition |
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ISBN |
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Medium |
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| Area |
800 |
Expedition |
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Conference |
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| Notes |
MV;SIAI |
Approved |
no |
| Call Number |
fernando @ fernando @ |
Serial |
2422 |
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| Author |
Santiago Segui; Laura Igual; Fernando Vilariño; Petia Radeva; Carolina Malagelada; Fernando Azpiroz; Jordi Vitria |
| Title |
Diagnostic System for Intestinal Motility Disfunctions Using Video Capsule Endoscopy |
Type |
Book Chapter |
| Year |
2008 |
Publication |
Computer Vision Systems. 6th International |
Abbreviated Journal |
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| Volume |
5008 |
Issue |
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Pages |
251–260 |
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| Abstract |
Wireless Video Capsule Endoscopy is a clinical technique consisting of the analysis of images from the intestine which are pro- vided by an ingestible device with a camera attached to it. In this paper we propose an automatic system to diagnose severe intestinal motility disfunctions using the video endoscopy data. The system is based on the application of computer vision techniques within a machine learn- ing framework in order to obtain the characterization of diverse motil- ity events from video sequences. We present experimental results that demonstrate the effectiveness of the proposed system and compare them with the ground-truth provided by the gastroenterologists. |
| Address |
Santorini (Greece) |
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Thesis |
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| Publisher |
Springer-Verlag |
Place of Publication |
Berlin Heidelberg |
Editor |
A. Gasteratos, M. Vincze, and J.K. Tsotsos |
| Language |
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LNCS |
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Edition |
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ISBN |
978-3-540-79546-9 |
Medium |
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| Area |
800 |
Expedition |
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Conference |
ICVS |
| Notes |
OR; MV; MILAB; SIAI |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ SIV2008; IAM @ iam @ SIV2008 |
Serial |
962 |
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| Author |
Santiago Segui; Michal Drozdzal; Fernando Vilariño; Carolina Malagelada; Fernando Azpiroz; Petia Radeva; Jordi Vitria |
| Title |
Categorization and Segmentation of Intestinal Content Frames for Wireless Capsule Endoscopy |
Type |
Journal Article |
| Year |
2012 |
Publication |
IEEE Transactions on Information Technology in Biomedicine |
Abbreviated Journal |
TITB |
| Volume |
16 |
Issue |
6 |
Pages |
1341-1352 |
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| Abstract |
Wireless capsule endoscopy (WCE) is a device that allows the direct visualization of gastrointestinal tract with minimal discomfort for the patient, but at the price of a large amount of time for screening. In order to reduce this time, several works have proposed to automatically remove all the frames showing intestinal content. These methods label frames as {intestinal content – clear} without discriminating between types of content (with different physiological meaning) or the portion of image covered. In addition, since the presence of intestinal content has been identified as an indicator of intestinal motility, its accurate quantification can show a potential clinical relevance. In this paper, we present a method for the robust detection and segmentation of intestinal content in WCE images, together with its further discrimination between turbid liquid and bubbles. Our proposal is based on a twofold system. First, frames presenting intestinal content are detected by a support vector machine classifier using color and textural information. Second, intestinal content frames are segmented into {turbid, bubbles, and clear} regions. We show a detailed validation using a large dataset. Our system outperforms previous methods and, for the first time, discriminates between turbid from bubbles media. |
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Edition |
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| ISSN |
1089-7771 |
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| Area |
800 |
Expedition |
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Conference |
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| Notes |
MILAB; MV; OR;SIAI |
Approved |
no |
| Call Number |
Admin @ si @ SDV2012 |
Serial |
2124 |
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| Author |
Stefan Ameling; Stephan Wirth; Dietrich Paulus; Gerard Lacey; Fernando Vilariño |
| Title |
Texture-based Polyp Detection in Colonoscopy |
Type |
Conference Article |
| Year |
2009 |
Publication |
Proc. BILDVERARBEITUNG FÜR DIE MEDIZIN |
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| Area |
800 |
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| Notes |
MV;SIAI |
Approved |
no |
| Call Number |
fernando @ fernando @ |
Serial |
2428 |
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