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 |
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Volume |
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Issue |
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Pages |
47-52 |
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Area |
800 |
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Notes |
MV |
Approved |
no |
Call Number |
fernando @ fernando @ |
Serial |
2424 |
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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 |
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800 |
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MV |
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no |
Call Number |
fernando @ fernando @ |
Serial |
2426 |
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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 |
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Issue |
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Pages |
48-53 |
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800 |
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VISIGRAPP |
Notes |
MV |
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no |
Call Number |
fernando @ fernando @ |
Serial |
2427 |
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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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800 |
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MV;SIAI |
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no |
Call Number |
fernando @ fernando @ |
Serial |
2428 |
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Author |
Fernando Vilariño; Gerard Lacey |
Title |
QUALITY ASSESSMENT IN COLONOSCOPY New challenges through computer vision-based systems |
Type |
Conference Article |
Year |
2009 |
Publication |
in Proc. 3rd International Conference on Biomedical Electronics and Devices |
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800 |
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MV;SIAI |
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no |
Call Number |
fernando @ fernando @ |
Serial |
2430 |
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Author |
Fernando Vilariño; Gerard Lacey; Jiang Zhou; Hugh Mulcahy; Stephen Patchett |
Title |
Automatic Labeling of Colonoscopy Video for Cancer Detection |
Type |
Conference Article |
Year |
2007 |
Publication |
In Proc. berian Conference, IbPRIA |
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Pages |
290-297 |
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800 |
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MV;SIAI |
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no |
Call Number |
fernando @ fernando @ |
Serial |
2431 |
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Author |
Jorge Bernal; F. Javier Sanchez; Fernando Vilariño |
Title |
A Region Segmentation Method for Colonoscopy Images Using a Model of Polyp Appearance |
Type |
Conference Article |
Year |
2011 |
Publication |
5th Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
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Volume |
6669 |
Issue |
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Pages |
134-143 |
Keywords |
Colonoscopy, Polyp Detection, Region Merging, Region Segmentation. |
Abstract |
This work aims at the segmentation of colonoscopy images into a minimum number of informative regions. Our method performs in a way such, if a polyp is present in the image, it will be exclusively and totally contained in a single region. This result can be used in later stages to classify regions as polyp-containing candidates. The output of the algorithm also defines which regions can be considered as non-informative. The algorithm starts with a high number of initial regions and merges them taking into account the model of polyp appearance obtained from available data. The results show that our segmentations of polyp regions are more accurate than state-of-the-art methods. |
Address |
Las Palmas de Gran Canaria, June 2011 |
Corporate Author |
SpringerLink |
Thesis |
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Publisher |
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Editor |
Vitrià, Jordi and Sanches, João and Hernández, Mario |
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Lecture Notes in Computer Science |
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LNCS |
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ISBN |
978-3-642-21256-7 |
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800 |
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Conference |
IbPRIA |
Notes |
MV;SIAI |
Approved |
no |
Call Number |
IAM @ iam @ BSV2011c |
Serial |
1696 |
Permanent link to this record |
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Author |
Jorge Bernal; F. Javier Sanchez; Fernando Vilariño |
Title |
Integration of Valley Orientation Distribution for Polyp Region Identification in Colonoscopy |
Type |
Conference Article |
Year |
2011 |
Publication |
In MICCAI 2011 Workshop on Computational and Clinical Applications in Abdominal Imaging |
Abbreviated Journal |
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Volume |
6668 |
Issue |
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Pages |
76-83 |
Keywords |
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Abstract |
This work presents a region descriptor based on the integration of the information that the depth of valleys image provides. The depth of valleys image is based on the presence of intensity valleys around polyps due to the image acquisition. Our proposed method consists of defining, for each point, a series of radial sectors around it and then accumulates the maxima of the depth of valleys image only if the orientation of the intensity valley coincides with the orientation of the sector above. We apply our descriptor to a prior segmentation of the images and we present promising results on polyp detection, outperforming other approaches that also integrate depth of valleys information. |
Address |
Toronto, Canada |
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Publisher |
Springer Link |
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Series Title |
Lecture Notes in Computer Science |
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Area |
800 |
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Conference |
ABI |
Notes |
MV;SIAI |
Approved |
no |
Call Number |
IAM @ iam @ BSV2011d |
Serial |
1698 |
Permanent link to this record |
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Author |
Carles Sanchez;F. Javier Sanchez; Antoni Rosell; Debora Gil |
Title |
An illumination model of the trachea appearance in videobronchoscopy images |
Type |
Book Chapter |
Year |
2012 |
Publication |
Image Analysis and Recognition |
Abbreviated Journal |
LNCS |
Volume |
7325 |
Issue |
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Pages |
313-320 |
Keywords |
Bronchoscopy, tracheal ring, stenosis assesment, trachea appearance model, segmentation |
Abstract |
Videobronchoscopy is a medical imaging technique that allows interactive navigation inside the respiratory pathways. This imaging modality provides realistic images and allows non-invasive minimal intervention procedures. Tracheal procedures are routinary interventions that require assessment of the percentage of obstructed pathway for injury (stenosis) detection. Visual assessment in videobronchoscopic sequences requires high expertise of trachea anatomy and is prone to human error.
This paper introduces an automatic method for the estimation of steneosed trachea percentage reduction in videobronchoscopic images. We look for tracheal rings , whose deformation determines the degree of obstruction. For ring extraction , we present a ring detector based on an illumination and appearance model. This model allows us to parametrise the ring detection. Finally, we can infer optimal estimation parameters for any video resolution. |
Address |
Aveiro, Portugal |
Corporate Author |
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Thesis |
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Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
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Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
Lecture Notes in Computer Science |
Abbreviated Series Title |
LNCS |
Series Volume |
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Edition |
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ISSN |
0302-9743 |
ISBN |
978-3-642-31297-7 |
Medium |
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Area |
800 |
Expedition |
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Conference |
ICIAR |
Notes |
MV;IAM |
Approved |
no |
Call Number |
IAM @ iam @ SSR2012 |
Serial |
1898 |
Permanent link to this record |