Computational vision and medical image processing IV

Computational Vision and Medical Image Processing. VIPIMAGE 2013 contains invited lectures and full papers presented at VIPIMAGE 2013 - IV ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (Funchal, Madeira Island, Portugal, 14-16 October 2013). International contribut...

Descripción completa

Detalles Bibliográficos
Autor principal: VipIMAGE (Conference) (corporate author)
Autores Corporativos: VipIMAGE (Conference) Corporate Author (corporate author), VipIMAGE (-)
Otros Autores: Tavares, Joao Manuel R. S., editor (editor), Jorge, R. M. Natal, editor
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton : CRC Press [2014].
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009634701906719
Tabla de Contenidos:
  • Front Cover; Table of contents; Preface; Acknowledgements; Invited lecturers; Thematic sessions; Scientific committee; Invited lectures; Machine learning meets medical imaging: Learning and discovery of clinically useful information from images; Seeing and understanding people; Contributed papers; On the strain-line patterns in a real human left ventricle; MR-T2-weighted signal intensity: A new imaging marker of prostate cancer aggressiveness; Dimensionality reduction through LDA and bag-of-features applied to image retrieval
  • Prediction-assisted moving objects tracking in severe occlusions and background cluttersScale and orientation adaptive histogram-based object tracking in video sequences; Wavelet approach for studying motor strategy patterns of diabetic neuropathic individuals in gait cycle; Fully discrete, nonlocal models for image processing: Properties and applications; Image smoothing using the Perona-Malik equation with a new estimation method of the contrast parameter; Speckle ultrasound image filtering: Performance analysis and comparison
  • A study of the complexity of respiratory signals during wake and sleepModel-based extraction of input and organ functions in dynamic medical imaging; A study on clustering for colour image quantisation; Sparse and robust signal reconstruction algorithm; An empirical study of algebraic-reconstruction techniques; Fast soft switching impulsive noise removal in color images; Analysis of the retinal nerve fiber layer texture related to the thickness measured by optical coherence tomography; A selective denoising method to remove speckle noise
  • Registration of the long-term autofluorescence retinal images taken from glaucomatic patientsSimplified and labelled bone model reconstruction for interactive environments; Fringe projection measurement of highly specular objects in presence of multi-reflection; Pretreatment and reconstruction of three-dimensional images applied in a locking reconstruction plate for structural analysis with FEA; Vision-based gesture recognition system for human-computer interaction; A fast and accurate algorithm for detecting and tracking moving hand gestures; Sensor Kinect in a telepresence application
  • VIFTrack!-visual-inertial feature tracking based on affine photometric warpingCreation of patient specific finite element models of bone-prosthesis-simulation of the effect of future implants; Direct creation of finite element models from medical images using Cartesian grids; An out-of-core volume rendering architecture; The Numeric Simulator of Human Body (NSHB)-a future scientific research tool in Medicine; Distribution of the pelvic floor muscle fibers: Comparison between magnetic resonance tractography and finite element method representation
  • Data quality estimation from interdependencies for structured light scanners