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Author |
Fernando Vilariño |
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Title |
A Machine Learning Approach for Intestinal Motility Assessment with Capsule Endoscopy |
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2006 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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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 obtained by labelling all the motility events present in a video provided by a capsule with a wireless micro-camera, which is ingested by the patient. However, the visual analysis of these video sequences presents several im- portant drawbacks, mainly related to both the large amount of time needed for the visualization process, and the low prevalence of intestinal contractions in video.
In this work we propose a machine learning system to automatically detect the intestinal contractions in video capsule endoscopy, driving a very useful but not fea- sible clinical routine into a feasible clinical procedure. Our proposal is divided into two different parts: The first part tackles the problem of the automatic detection of phasic contractions in capsule endoscopy videos. Phasic contractions are dynamic events spanning about 4-5 seconds, which show visual patterns with a high variability. Our proposal is based on a sequential design which involves the analysis of textural, color and blob features with powerful classifiers such as SVM. This approach appears to cope with two basic aims: the reduction of the imbalance rate of the data set, and the modular construction of the system, which adds the capability of including domain knowledge as new stages in the cascade. The second part of the current work tackles the problem of the automatic detection of tonic contractions. Tonic contrac- tions manifest in capsule endoscopy as a sustained pattern of the folds and wrinkles of the intestine, which may be prolonged for an undetermined span of time. Our proposal is based on the analysis of the wrinkle patterns, presenting a comparative study of diverse features and classification methods, and providing a set of appro- priate descriptors for their characterization. We provide a detailed analysis of the performance achieved by our system both in a qualitative and a quantitative way. |
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CVC (UAB) |
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Ph.D. thesis |
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Editor |
Petia Radeva |
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84-933652-7-0 |
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800 |
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MV;SIAI |
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no |
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Admin @ si @ Vil2006; IAM @ iam @ Vil2006 |
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738 |
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Author |
Jorge Bernal |
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Title |
Polyp Localization and Segmentation in Colonoscopy Images by Means of a Model of Appearance for Polyps |
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2012 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Colorectal cancer is the fourth most common cause of cancer death worldwide and its survival rate depends on the stage in which it is detected on hence the necessity for an early colon screening. There are several screening techniques but colonoscopy is still nowadays the gold standard, although it has some drawbacks such as the miss rate. Our contribution, in the field of intelligent systems for colonoscopy, aims at providing a polyp localization and a polyp segmentation system based on a model of appearance for polyps. To develop both methods we define a model of appearance for polyps, which describes a polyp as enclosed by intensity valleys. The novelty of our contribution resides on the fact that we include in our model aspects of the image formation and we also consider the presence of other elements from the endoluminal scene such as specular highlights and blood vessels, which have an impact on the performance of our methods. In order to develop our polyp localization method we accumulate valley information in order to generate energy maps, which are also used to guide the polyp segmentation. Our methods achieve promising results in polyp localization and segmentation. As we want to explore the usability of our methods we present a comparative analysis between physicians fixations obtained via an eye tracking device and our polyp localization method. The results show that our method is indistinguishable to novice physicians although it is far from expert physicians. |
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Ph.D. thesis |
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Ediciones Graficas Rey |
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Editor |
F. Javier Sanchez;Fernando Vilariño |
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800 |
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MV |
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Admin @ si @ Ber2012 |
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2211 |
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Author |
A. Sanfeliu; Juan J. Villanueva; Jordi Vitria |
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Title |
Image Analysis and Pattern Recognition. |
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Year |
1997 |
Publication |
Image Analysis and Pattern Recognition. |
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OR;MV |
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BCNPCL @ bcnpcl @ SVV1997 |
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56 |
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Author |
Ramon Baldrich |
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Title |
Perceptual approach to a computational colour-texture representation for surface inspection. |
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2001 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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CIC |
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Call Number |
CAT @ cat @ Bal2001 |
Serial |
73 |
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Author |
Ricardo Toledo |
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Title |
Cardiac workstation and dynamic model to assist in coronary tree analysis. |
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Year |
2001 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Ph.D. thesis |
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Editor |
Petia Radeva;JuanJose Villanueva |
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ADAS |
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no |
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Call Number |
Admin @ si @ Tol2001 |
Serial |
166 |
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Author |
Antonio Lopez |
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Title |
Multilocal Methods for Ridge and Valley Delineation in Image Analysis. |
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Year |
2000 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Ph.D. thesis |
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Editor |
Joan Serrat |
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ADAS |
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no |
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ADAS @ adas @ Lop2000 |
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174 |
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Author |
Felipe Lumbreras |
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Title |
Segmentation, classification and modelization of textures by means of multiresolution decomposition techniques. |
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2001 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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ADAS |
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ADAS @ adas @ Lum2001 |
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188 |
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Author |
A. Pujol |
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Title |
Contributions to shape and texture face similarity measurement. |
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2001 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Ph.D. thesis |
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Editor |
JuanJose Villanueva |
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Admin @ si @ Puj2001 |
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202 |
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Author |
Javier Varona |
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Title |
Seguimiento visual robusto en entornos complejos |
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2001 |
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PhD Thesis |
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Admin @ si @ Var2001 |
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214 |
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Author |
Juan J. Villanueva |
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Title |
Visualization, Imaging and Image Processing. |
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2002 |
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International Association of Science and Technology for Development. ACTA Press, |
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0–88986–354–3 |
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IASTE |
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ISE @ ise @ Vil2002 |
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276 |
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Author |
David Lloret |
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Title |
Medical Image Registration Based on a Creaseress Measure. |
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2002 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Ph.D. thesis |
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Editor |
Joan Serrat |
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Admin @ si @ Llo2002 |
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321 |
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Author |
Jordi Gonzalez |
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Title |
Human Sequence Evaluation: the Key-frame Approach |
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2004 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Ph.D. thesis |
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Editor |
Xavier Roca;Javier Varona |
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ISE @ ise @ Gon2004 |
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362 |
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Author |
David Guillamet |
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Title |
Statistical Local Appearance Models for Object Recognition |
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2004 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Bellaterra |
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Ph.D. thesis |
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Jordi Vitria |
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Admin @ si @ Gui2004 |
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444 |
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Author |
Angel Sappa; Niki Aifanti; Sotiris Malassiotis; Michael G. Strintzis |
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3D Human Walking Modelling |
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2004 |
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Articulated Motion and Deformable Objects, Third International Workshop, (AMDO 2004), Lecture Notes in Computer Science, F.J. Perales, B.A. Draper (Eds.), 3179:111–122 |
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Springer-Verlag, Berlin, Heidelberg |
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ADAS @ adas @ SAM2004b |
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494 |
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Author |
Oriol Pujol |
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Title |
A semi-Supervised Statistical Framework and Generative Snakes for IVUS Analysis |
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2004 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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CVC (UAB), Bellaterra |
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Ph.D. thesis |
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Petia Radeva |
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HuPBA;MILAB |
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BCNPCL @ bcnpcl @ Puj2004 |
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512 |
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