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Author |
Jordi Vitria; J. Llacer |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Reconstructing 3D light microscopic images using the EM algorithm |
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Journal |
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Year |
1996 |
Publication |
Pattern Recognition Letters |
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17 |
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14 |
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1491–1498 |
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BCNPCL @ bcnpcl @ ViL1996 |
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74 |
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Author |
Fernando Vilariño; Petia Radeva |
![goto web page url](img/www.gif)
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Title |
Patch-Optimized Discriminant Active Contours for Medical Image Segmentation. |
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Conference Article |
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2002 |
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Iberoamerican Conference on Artificial Intelligence |
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Sevilla, Espanya |
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Springer Verlag |
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IBERAMIA |
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MV;MILAB;SIAI |
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no |
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BCNPCL @ bcnpcl @ ViR2002; IAM @ iam @ VRa2003 |
Serial |
320 |
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Author |
Fernando Vilariño; Petia Radeva |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Cardiac Segmentation with Discriminant Active Contours |
Type |
Book Chapter |
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Year |
2003 |
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211–217 |
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Dynamic tracking of heart moving is one relevant target in medical imag- ing and can be helpful for analyzing heart dynamics in the study of several cardiac diseases. For this aim, a previous segmentation problem of such structures is stated, based on certain relevant features (like edges or intensity levels, textures, etc.) Clas- sical active models have been used, but they fail when overlapping structures or not well-defined contours are present. Automatic feature learning systems may be a pow- erful tool. Discriminant active contours present optimal results in this kind of problem. They are a kind of deformable models that converge to an optimal object segmenta- tion that dynamically adapts to the object contour. The feature space is designed from a filter bank in order to guarantee the search and learning of the set of relevant fea- tures for optimal classification on each part of the object. Tracking of target evolution is obtained through the whole set of images, using information from the actual and previous stages. Feedback systems are implemented to guarantee the minimum well- separable classification set in each segmentation step. Our implementation has been proved with several series of Magnetic Resonance with improved results in segmenta- tion in comparison to previous methods. |
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Palma de Mallorca |
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IOS Press |
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CCIA |
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MV;MILAB;SIAI |
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BCNPCL @ bcnpcl @ ViR2003; IAM @ iam @ VRa2003 |
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426 |
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Author |
Jordi Vitria |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Disseny de sistemes (intel.ligents) de visio. |
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Miscellaneous |
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1996 |
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OR;MV |
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BCNPCL @ bcnpcl @ Vit1996a |
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88 |
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Author |
Jordi Vitria |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Introduccio a la Morfologia Matematica |
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Report |
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Year |
1996 |
Publication |
CVC Technical Report #06 |
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OR;MV |
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BCNPCL @ bcnpcl @ Vit1996b |
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90 |
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Author |
Fernando Vilariño; Ludmila I. Kuncheva; Petia Radeva |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
ROC curves and video analysis optimization in intestinal capsule endoscopy |
Type |
Journal Article |
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Year |
2006 |
Publication |
Pattern Recognition Letters |
Abbreviated Journal |
PRL |
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Volume |
27 |
Issue |
8 |
Pages |
875–881 |
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Keywords |
ROC curves; Classification; Classifiers ensemble; Detection of intestinal contractions; Imbalanced classes; Wireless capsule endoscopy |
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Abstract |
Wireless capsule endoscopy involves inspection of hours of video material by a highly qualified professional. Time episodes corresponding to intestinal contractions, which are of interest to the physician constitute about 1% of the video. The problem is to label automatically time episodes containing contractions so that only a fraction of the video needs inspection. As the classes of contraction and non-contraction images in the video are largely imbalanced, ROC curves are used to optimize the trade-off between false positive and false negative rates. Classifier ensemble methods and simple classifiers were examined. Our results reinforce the claims from recent literature that classifier ensemble methods specifically designed for imbalanced problems have substantial advantages over simple classifiers and standard classifier ensembles. By using ROC curves with the bagging ensemble method the inspection time can be drastically reduced at the expense of a small fraction of missed contractions. |
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800 |
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MILAB;MV;SIAI |
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no |
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Call Number ![sorted by Call Number field, ascending order (up)](img/sort_asc.gif) |
BCNPCL @ bcnpcl @ VKR2006; IAM @ iam @ VKR2006 |
Serial |
647 |
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Author |
Jordi Vitria; Petia Radeva; I. Aguilo |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Recent Advances in Artificial Intelligence Research and Development |
Type |
Book Chapter |
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Year |
2004 |
Publication |
Frontiers in Artificial Intelligence and Applications, 113, J. Vitria, P. Radeva, I. Aguilo (Eds.), ISBN: 1–58603–466–9 |
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Amsterdam |
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OR;MILAB;MV |
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no |
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Call Number ![sorted by Call Number field, ascending order (up)](img/sort_asc.gif) |
BCNPCL @ bcnpcl @ VRA2004 |
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509 |
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Author |
Jordi Vitria; Petia Radeva; X. Binefa |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
EigenHistograms: using low dimensional models of color distribution for real time object recognition |
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Conference Article |
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Year |
1999 |
Publication |
Computer Analysis of Images and Patterns |
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Ljubliana, Slovenia, Springer-Verlag |
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OR;MILAB;MV |
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no |
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Call Number ![sorted by Call Number field, ascending order (up)](img/sort_asc.gif) |
BCNPCL @ bcnpcl @ VRB1999a |
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29 |
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Author |
Jordi Vitria; Petia Radeva; X. Binefa; A. Pujol; Ernest Valveny; Robert Benavente; Craig Von Land |
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Title |
Real time recognition of pharmaceutical products by subspace methods |
Type |
Report |
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1999 |
Publication |
CVC Technical Report #35 |
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CVC (UAB) |
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OR;MILAB;DAG;CIC;MV |
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no |
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Call Number ![sorted by Call Number field, ascending order (up)](img/sort_asc.gif) |
BCNPCL @ bcnpcl @ VRB1999b |
Serial |
54 |
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Permanent link to this record |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Fosca De Iorio; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
![download PDF file pdf](img/file_PDF.gif)
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Intestinal Motility Assessment With Video Capsule Endoscopy: Automatic Annotation of Phasic Intestinal Contractions |
Type |
Journal Article |
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Year |
2010 |
Publication |
IEEE Transactions on Medical Imaging |
Abbreviated Journal |
TMI |
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Volume |
29 |
Issue |
2 |
Pages |
246-259 |
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Abstract |
Intestinal motility assessment with video capsule endoscopy arises as a novel and challenging clinical fieldwork. This technique is based on the analysis of the patterns of intestinal contractions shown in a video provided by an ingestible capsule with a wireless micro-camera. The manual labeling of all the motility events requires large amount of time for offline screening in search of findings with low prevalence, which turns this procedure currently unpractical. In this paper, we propose a machine learning system to automatically detect the phasic intestinal contractions in video capsule endoscopy, driving a useful but not feasible clinical routine into a feasible clinical procedure. Our proposal is based on a sequential design which involves the analysis of textural, color, and blob features together with SVM classifiers. Our approach tackles the reduction of the imbalance rate of data and allows the inclusion of domain knowledge as new stages in the cascade. We present a detailed analysis, both in a quantitative and a qualitative way, by providing several measures of performance and the assessment study of interobserver variability. Our system performs at 70% of sensitivity for individual detection, whilst obtaining equivalent patterns to those of the experts for density of contractions. |
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IEEE |
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0278-0062 |
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800 |
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MILAB;MV;OR;SIAI |
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no |
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Call Number ![sorted by Call Number field, ascending order (up)](img/sort_asc.gif) |
BCNPCL @ bcnpcl @ VSD2010; IAM @ iam @ VSI2010 |
Serial |
1281 |
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Permanent link to this record |
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Author |
V. Valev; B. Sankur; Petia Radeva |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Generalized Non-Reducible Descriptors. |
Type |
Miscellaneous |
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Year |
1997 |
Publication |
Technical Report. |
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MILAB |
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BCNPCL @ bcnpcl @ VSR1997 |
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65 |
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Author |
V. Valev; B. Sankur; Petia Radeva |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Generalized Non Reducible Descriptors. |
Type |
Conference Article |
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Year |
2000 |
Publication |
15 th International Conference on Pattern Recognition |
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2 |
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397-397 |
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Barcelona. |
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ICPR |
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MILAB |
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no |
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Call Number ![sorted by Call Number field, ascending order (up)](img/sort_asc.gif) |
BCNPCL @ bcnpcl @ VSR2000 |
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230 |
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Permanent link to this record |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Cascade analysis for intestinal contraction detection |
Type |
Conference Article |
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Year |
2006 |
Publication |
20th International Congress and exhibition Computer Assisted Radiology and Surgery |
Abbreviated Journal |
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9-10 |
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intestine video analysis, anisotropic features, support vector machine, cascade of classifiers |
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Abstract |
In this work, we address the study of intestinal contractions in a novel approach based on a machine learning framework to process data from Wireless Capsule Video Endoscopy. Wireless endoscopy represents a unique way to visualize the intestine motility by creating long videos to visualize intestine dynamics. In this paper we argue that to analyze huge amount of wireless endoscopy data and define robust methods for contraction detection we should base our approach on sophisticated machine learning techniques. In particular, we propose a cascade of classifiers in order to remove different physiological phenomenon and obtain the motility pattern of small intestines. Our results show obtaining high specificity and sensitivity rates that highlight the high efficiency of the selected approach and support the feasibility of the proposed methodology in the automatic detection and analysis of intestine contractions. |
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Osaka (Japan) |
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800 |
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CARS |
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MV;OR;MILAB;SIAI |
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no |
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Call Number ![sorted by Call Number field, ascending order (up)](img/sort_asc.gif) |
BCNPCL @ bcnpcl @ VSV2006a; IAM @ iam @ VSV2006h |
Serial |
726 |
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Permanent link to this record |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
![download PDF file pdf](img/file_PDF.gif)
![find book details (via ISBN) isbn](img/isbn.gif)
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Title |
Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy |
Type |
Conference Article |
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Year |
2006 |
Publication |
18th International Conference on Pattern Recognition |
Abbreviated Journal |
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Volume |
4 |
Issue |
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Pages |
719-722 |
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Keywords |
Clinical diagnosis , Endoscopes , Fluids and secretions , Gabor filters , Hospitals , Image sequence analysis , Intestines , Lighting , Shape , Visualization |
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Abstract |
Wireless capsule video endoscopy is a novel and challenging clinical technique, whose major reported drawback relates to the high amount of time needed for video visualization. In this paper, we propose a method for the rejection of the parts of the video resulting not valid for analysis by means of automatic detection of intestinal juices. We applied Gabor filters for the characterization of the bubble-like shape of intestinal juices in fasting patients. Our method achieves a significant reduction in visualization time, with no relevant loss of valid frames. The proposed approach is easily extensible to other image analysis scenarios where the described pattern of bubbles can be found. |
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Hong Kong |
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1051-4651 |
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0-7695-2521-0 |
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800 |
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ICPR |
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Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
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Call Number ![sorted by Call Number field, ascending order (up)](img/sort_asc.gif) |
BCNPCL @ bcnpcl @ VSV2006b; IAM @ iam @ VSV2006g |
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727 |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Carolina Malagelada; Petia Radeva |
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Title |
Linear Radial Patterns Characterization for Automatic Detection of Tonic Intestinal Contractions |
Type |
Book Chapter |
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Year |
2006 |
Publication |
11th Iberoamerican Congress on Pattern Recognition |
Abbreviated Journal |
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Volume |
4225 |
Issue |
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Pages |
178–187 |
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Abstract |
This work tackles the categorization of general linear radial patterns by means of the valleys and ridges detection and the use of descriptors of directional information, which are provided by steerable filters in different regions of the image. We successfully apply our proposal in the specific case of automatic detection of tonic contractions in video capsule endoscopy, which represent a paradigmatic example of linear radial patterns. |
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Address |
Cancun (Mexico) |
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Publisher |
Springer Verlag |
Place of Publication |
Berlin Heidelberg |
Editor |
.F. Mart ́ınez-Trinidad et al |
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Area |
800 |
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Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
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BCNPCL @ bcnpcl @ VSV2006c; IAM @ iam @ VSB2006f |
Serial |
728 |
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Permanent link to this record |