A Novel Synergistic Diagnosis Methodology for identifying Abnormalities in Wireless Capsule Endoscopy videos

[1]  Mubarak Shah,et al.  Shape from shading using linear approximation , 1994, Image Vis. Comput..

[2]  Amit K. Roy-Chowdhury,et al.  An Illumination Invariant 3D Model Based Tracking Algorithm, with Application in Video Compression , 2006, 2006 International Conference on Image Processing.

[3]  W. Marsden.  I and J , 2012 .

[4]  S. Abe,et al.  Fuzzy support vector machines for pattern classification , 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

[5]  Paul Scheunders,et al.  Wavelet correlation signatures for color texture characterization , 1999, Pattern Recognit..

[6]  Hans-Hellmut Nagel,et al.  An Investigation of Smoothness Constraints for the Estimation of Displacement Vector Fields from Image Sequences , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[7]  Bernhard P. Wrobel,et al.  Multiple View Geometry in Computer Vision , 2001 .

[8]  C. Bregler,et al.  Large displacement optical flow , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[9]  Metin Sitti,et al.  A Legged Anchoring Mechanism for Capsule Endoscopes Using Micropatterned Adhesives , 2008, IEEE Transactions on Biomedical Engineering.

[10]  Amy K Hara,et al.  Imaging of small bowel disease: comparison of capsule endoscopy, standard endoscopy, barium examination, and CT. , 2005, Radiographics : a review publication of the Radiological Society of North America, Inc.

[11]  Carlos S. Lima,et al.  Automatic detection of small bowel tumors in capsule endoscopy based on color curvelet covariance statistical texture descriptors , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[12]  Ronald M. Summers,et al.  Polyp segmentation method for CT colonography computer-aided detection , 2003, SPIE Medical Imaging.

[13]  M. Yu.  M2A™ Capsule Endoscopy: A Breakthrough Diagnostic Tool for Small Intestine Imaging , 2002, Gastroenterology nursing : the official journal of the Society of Gastroenterology Nurses and Associates.

[14]  Nikolaos G. Bourbakis,et al.  A fuzzy region growing approach for segmentation of color images , 1997, Pattern Recognit..

[15]  A Menciassi,et al.  Wireless therapeutic endoscopic capsule: in vivo experiment. , 2008, Endoscopy.

[16]  Nikolaos G. Bourbakis,et al.  A methodology for detecting blood-based abnormalities in Wireless Capsule Endoscopy videos , 2008, 2008 8th IEEE International Conference on BioInformatics and BioEngineering.

[17]  E McDougall.  Minimally invasive therapy. , 1995, The Journal of urology.

[18]  Thomas Brox,et al.  High Accuracy Optical Flow Estimation Based on a Theory for Warping , 2004, ECCV.

[19]  Mubarak Shah,et al.  Adaptive Region-Based Video Registration , 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.

[20]  Vassilis Kodogiannis,et al.  An adaptive neurofuzzy approach for the diagnosis in wireless capsule endoscopy imaging , 2007 .

[21]  Berthold K. P. Horn.  SHAPE FROM SHADING: A METHOD FOR OBTAINING THE SHAPE OF A SMOOTH OPAQUE OBJECT FROM ONE VIEW , 1970 .

[22]  Baoxin Li,et al.  Circular generalized cylinder fitting for 3D reconstruction in endoscopic imaging based on MRF , 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

[23]  Nikolaos Bourbakis,et al.  A video-frame based registration using segmentation and graph connectivity for Wireless Capsule Endoscopy , 2009, 2009 IEEE/NIH Life Science Systems and Applications Workshop.

[24]  R. L. de Valois,et al.  Relationship between spatial-frequency and orientation tuning of striate-cortex cells. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[25]  T. Kanade,et al.  Color information for region segmentation , 1980 .

[26]  P. Wang,et al.  Classification of endoscopic images based on texture and neural network , 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[27]  Ève Coste-Manière,et al.  3D reconstruction of the operating field for image overlay in 3D-endoscopic surgery , 2001, Proceedings IEEE and ACM International Symposium on Augmented Reality.

[28]  D. Kavraki,et al.  A neural network-based detection of bleeding in sequences of WCE images , 2005, Fifth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'05).

[29]  J. Daugman.  Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[30]  Phooi Yee Lau,et al.  Detection of bleeding patterns in WCE video using multiple features , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[31]  Alessio Del Bue,et al.  A Model of Brightness Variations Due to Illumination Changes and Non-rigid Motion Using Spherical Harmonics , 2008, BMVC.

[32]  William E. Higgins,et al.  Combined endoscopic video tracking and virtual 3D CT registration for surgical guidance , 2002, Proceedings. International Conference on Image Processing.

[33]  Dimitris A. Karras,et al.  Computer Methods and Programs in Biomedicine , 2022 .

[34]  J. Raskin,et al.  Small bowel ulcers , 2001, Current treatment options in gastroenterology.

[35]  Yair Weiss.  Bayesian motion estimation and segmentation , 1998 .

[36]  Sean Borman,et al.  The Expectation Maximization Algorithm A short tutorial , 2006 .

[37]  Nikolaos G. Bourbakis,et al.  Detecting abnormal patterns in WCE images , 2005, Fifth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'05).

[38]  Roustem Miftahof,et al.  The Wave Phenomena in Smooth Muscle Syncytia , 2005, Silico Biol..

[39]  J. Kender.  Saturation, Heu, And Normalized Color: Calculation, Digitization Effects, and Use. , 1976 .

[40]  J. Oliensis,et al.  Shape from shading as a partially well-constrained problem , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[41]  Fernando Vilariño,et al.  Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[42]  Olivier Romain,et al.  A System for an Accurate 3D Reconstruction in Video Endoscopy Capsule , 2009, EURASIP J. Embed. Syst..

[43]  Darius Burschka,et al.  Scale-Invariant Registration of Monocular Endoscopic Images to CT-Scans for Sinus Surgery , 2004, MICCAI.

[44]  Vassilis S. Kodogiannis,et al.  Computer-aided diagnosis in clinical endoscopy using neuro-fuzzy systems , 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

[45]  Chia-Hsiang Wu,et al.  Three-Dimensional Modeling From Endoscopic Video Using Geometric Constraints Via Feature Positioning , 2007, IEEE Transactions on Biomedical Engineering.

[46]  Yung-Nien Sun,et al.  Automatic extraction and visualization of human inner structures from endoscopic image sequences , 2004, SPIE Medical Imaging.

[47]  Jung-Hwan Oh,et al.  Blood detection in wireless capsule endoscopy using expectation maximization clustering , 2006, SPIE Medical Imaging.

[48]  Nikolaos G. Bourbakis,et al.  An Elastic Video Interpolation Methodology for Wireless Capsule Endoscopy Videos , 2010, 2010 IEEE International Conference on BioInformatics and BioEngineering.

[49]  Jung-Hwan Oh,et al.  Automatic classification of digestive organs in wireless capsule endoscopy videos , 2007, SAC '07.

[50]  Alexandros Karargyris,et al.  Identification of polyps in Wireless Capsule Endoscopy videos using Log Gabor filters , 2009, 2009 IEEE/NIH Life Science Systems and Applications Workshop.

[51]  Ronald M. Summers,et al.  Colonic polyp segmentation in CT colonography-based on fuzzy clustering and deformable models , 2004, IEEE Transactions on Medical Imaging.

[52]  George D. Magoulas,et al.  Neural network-based colonoscopic diagnosis using on-line learning and differential evolution , 2004, Appl. Soft Comput..

[53]  Olivier Faugeras,et al.  A rigorous and realistic Shape From Shading method and some of its applications , 2004 .

[54]  Mingui Sun,et al.  3D Construction of Endoscopic Images Based on Computational Stereo , 2006, Proceedings of the IEEE 32nd Annual Northeast Bioengineering Conference.

[55]  D J Field,et al.  Relations between the statistics of natural images and the response properties of cortical cells. , 1987, Journal of the Optical Society of America. A, Optics and image science.

[56]  Xiaona Wang,et al.  A prototype design of wireless capsule endoscope , 2005, IEEE International Conference Mechatronics and Automation, 2005.

[57]  Reshma Khemchandani,et al.  Twin Support Vector Machines for Pattern Classification , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[58]  Sudhanshu K. Mishra.  Median as a Weighted Arithmetic Mean of All Sample Observations , 2004 .

[59]  Enrico Magli,et al.  A technique for blood detection in wireless capsule endoscopy images , 2009, 2009 17th European Signal Processing Conference.

[60]  Bill Buckles,et al.  Bleeding detection from capsule endoscopy videos , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[61]  Steven S. Beauchemin,et al.  The computation of optical flow , 1995, CSUR.

[62]  Jong Hyo Kim,et al.  Active Blood Detection in a High Resolution Capsule Endoscopy using Color Spectrum Transformation , 2008, 2008 International Conference on BioMedical Engineering and Informatics.

[63]  Stephen M. Smith,et al.  SUSAN—A New Approach to Low Level Image Processing , 1997, International Journal of Computer Vision.

[64]  Ender Konukoglu,et al.  Polyp Enhancing Level Set Evolution of Colon Wall: Method and Pilot Study , 2007, IEEE Transactions on Medical Imaging.

[65]  Arie E. Kaufman,et al.  3D Surface Reconstruction from Endoscopic Videos , 2008, Visualization in Medicine and Life Sciences.

[66]  K. Kobayashi.  [Peptic ulcers]. , 1991, Nihon Naika Gakkai zasshi. The Journal of the Japanese Society of Internal Medicine.

[67]  William E. Higgins,et al.  Gabor filter design for multiple texture segmentation , 1996 .

[68]  A. Hara,et al.  Small bowel: preliminary comparison of capsule endoscopy with barium study and CT. , 2004, Radiology.

[69]  U. D. A Mueller-Richter,et al.  Possibilities and limitations of current stereo-endoscopy , 2004, Surgical Endoscopy.

[70]  Dimitris A. Karras,et al.  Computer-aided tumor detection in endoscopic video using color wavelet features , 2003, IEEE Transactions on Information Technology in Biomedicine.

[71]  Luís A. Alexandre,et al.  Color and Position versus Texture Features for Endoscopic Polyp Detection , 2008, 2008 International Conference on BioMedical Engineering and Informatics.

[72]  Dimitrios K. Iakovidis,et al.  Automatic frame reduction of Wireless Capsule Endoscopy video , 2008, 2008 8th IEEE International Conference on BioInformatics and BioEngineering.

[73]  Aly A. Farag,et al.  Geometric Features Based Framework for Colonic Polyp Detection using a New Color Coding Scheme , 2007, 2007 IEEE International Conference on Image Processing.

[74]  Hellward Broszio,et al.  Three-Dimensional Endoscopy , 2002 .

[75]  Ron Kikinis,et al.  3D Image Matching Using a Finite Element Based Elastic Deformation Model , 1999, MICCAI.

[76]  Y. Kopelman,et al.  New frontiers in capsule endoscopy , 2007, Journal of gastroenterology and hepatology.

[77]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[78]  Nikolaos G. Bourbakis,et al.  A stochastic optimization scheme for automatic registration of aerial images , 2004, 16th IEEE International Conference on Tools with Artificial Intelligence.

[79]  Ping-Sing Tsai,et al.  Shape from Shading: A Survey , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[80]  PollefeysMarc,et al.  Visual Modeling with a Hand-Held Camera , 2004 .

[81]  Xiaoli Yu,et al.  Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution , 1990, IEEE Trans. Acoust. Speech Signal Process..

[82]  Nikolaos G. Bourbakis,et al.  Identification of ulcers in Wireless Capsule Endoscopy videos , 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[83]  Paolo Dario,et al.  Microrobotics for future gastrointestinal endoscopy , 2007, Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy.

[85]  Patrick Pérez,et al.  Hierarchical Estimation and Segmentation of Dense Motion Fields , 2002, International Journal of Computer Vision.

[86]  Daniel Cremers,et al.  Large displacement optical flow computation withoutwarping , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[87]  Katsushi Ikeuchi,et al.  Separating reflection components of textured surfaces using a single image , 2003, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[88]  Michael J. Black,et al.  A framework for the robust estimation of optical flow , 1993, 1993 (4th) International Conference on Computer Vision.

[89]  Michal Mackiewicz,et al.  Colour and Texture Based Gastrointestinal Tissue Discrimination , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[90]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[91]  Miguel Tavares Coimbra,et al.  Topographic Segmentation and Transit Time Estimation for Endoscopic Capsule Exams , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[92]  James R. Zetka.  Surgeons and the Scope , 2003 .

[93]  Richard Szeliski,et al.  A Database and Evaluation Methodology for Optical Flow , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[94]  J. Tasic,et al.  Colour spaces: perceptual, historical and applicational background , 2003, The IEEE Region 8 EUROCON 2003. Computer as a Tool..

[95]  Vladimir Vapnik,et al.  Statistical learning theory , 1998 .

[96]  D. Rex,et al.  Performance of given suspected blood indicator , 2003, American Journal of Gastroenterology.

[97]  Ram D. Sriram,et al.  Model of Deformable Rings for Aiding the Wireless Capsule Endoscopy Video Interpretation and Reporting , 2004, ICCVG.

[98]  G. D. Magoulas,et al.  Neuronal networks and textural descriptors for automated tissue classification in endoscopy. , 2006, Oncology reports.

[99]  Baopu Li,et al.  Ulcer recognition in capsule endoscopy images by texture features , 2008, 2008 7th World Congress on Intelligent Control and Automation.

[100]  R S Dittus,et al.  Flexible sigmoidoscopy plus air contrast barium enema versus colonoscopy for suspected lower gastrointestinal bleeding. , 1990, Gastroenterology.

[101]  Naoki Suzuki,et al.  Laser-scan endoscope system for intraoperative geometry acquisition and surgical robot safety management , 2006, Medical Image Anal..

[102]  Joachim Weickert,et al.  Reliable Estimation of Dense Optical Flow Fields with Large Displacements , 2000, International Journal of Computer Vision.

[103]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[104]  Max Q.-H. Meng,et al.  Computer-Aided Detection of Bleeding Regions for Capsule Endoscopy Images , 2009, IEEE Transactions on Biomedical Engineering.

[105]  Tony F. Chan,et al.  Active contours without edges , 2001, IEEE Trans. Image Process..

[106]  Jean-Christophe Saurin,et al.  Does the "Suspected Blood Indicator" improve the detection of bleeding lesions by capsule endoscopy? , 2005, Gastrointestinal endoscopy.

[107]  Bostjan Likar,et al.  3-D/2-D registration by integrating 2-D information in 3-D , 2006, IEEE Transactions on Medical Imaging.

[108]  Nikolaos G. Bourbakis,et al.  3D Representation of the Digestive Tract Surface in Wireless Capsule Endoscopy Videos , 2010, 2010 IEEE International Conference on BioInformatics and BioEngineering.

[109]  Ronen Basri,et al.  Lambertian reflectance and linear subspaces , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.