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Information Processing in Medical Imaging - nouveau livre

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Computer Science; Image Processing and Computer Vision; Artificial Intelligence (incl. Robotics); Computer Appl. in Life Sciences 3D, Bildfolgen, Formbeschreibung, Image Sequences, Medica… Plus…

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Information Processing in Medical Imaging - nouveau livre

ISBN: 9783540477426

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Information Processing in Medical Imaging
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9783540477426

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EAN (ISBN-13): 9783540477426
Editeur: Springer Science+Business Media

Livre dans la base de données depuis 2017-06-04T22:16:10+02:00 (Paris)
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ISBN/EAN: 9783540477426

ISBN - Autres types d'écriture:
978-3-540-47742-6
Autres types d'écriture et termes associés:
Auteur du livre: harrison

Données de l'éditeur

Auteur: Harrison H. Barrett; Arthur F. Gmitro
Titre: Lecture Notes in Computer Science; Information Processing in Medical Imaging - 13th International Conference, IPMI'93, Flagstaff, Arizona, USA, June 14-18, 1993. Proceedings
Editeur: Springer; Springer Berlin
574 Pages
Date de parution: 2005-11-23
Berlin; Heidelberg; DE
Langue: Anglais
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XVIII, 574 p.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Anwendungs-Software; Maschinelles Sehen, Bildverstehen; Verstehen; 3D; Bildfolgen; Formbeschreibung; Image Sequences; Medical Imaging; Medizinische Bilderstellung; Shape Description; Statistical Pattern Recognition; Statistische Mustererkennung; Tomographic Reconstruction; cognition; image analysis; knowledge representation; knowledge-based system; knowledge-based systems; C; Computer Vision; Artificial Intelligence; Computational and Systems Biology; Computer Science; Künstliche Intelligenz; DV-gestützte Biologie/Bioinformatik; BC

A feature space for derivatives of deformations.- Non-rigid motion analysis in medical images: a physically based approach.- The use of active shape models for locating structures in medical images.- Parameterized feasible boundaries in gradient vector fields.- Multi-resolution stochastic 3D shape models for image segmentation.- Higher order differential structure of images.- Symbolic description of 3-D structures applied to cerebral vessel tree obtained from MR angiography volume data.- Multiscale Medial analysis of medical images.- Arrangement: A spatial relation comparing part embeddings and its use in medical image comparisons.- Characterizing first and second-order patches using geometry-limited diffusion.- Spatial knowledge representation for visualization of human anatomy and function.- A strategy for automated multimodality image registration incorporating anatomical knowledge and imager characteristics.- Model-based Recognition of anatomical objects from medical images.- A multiscale approach to image segmentation using Kohonen networks.- Segmentation of Magnetic resonance brain images using analog constraint satisfaction neural networks.- Fast, non-linear inversion for Electrical Impedance Tomography.- Inverse methods for Optical Tomography.- Feature-guided acquisition and reconstruction of MR images.- Reconstruction of a three-dimensional volume from a motion-corrupted two-dimensional data set in magnetic resonance imaging.- A framework for incorporating structural prior information into the estimation of medical images.- Bayesian reconstruction for emission tomography via deterministic annealing.- Analytical considerations of photon attenuation and system response function in SPECT reconstruction.- MAP image reconstruction using wavelet decomposition.- Tomographic reconstruction using information-weighted spline smoothing.- A 3-D filtered-backprojection reconstruction algorithm for combined parallel- and cone-beam SPECT data.- Foundations of factor analysis of medical image sequences: A unified approach and some practical implications.- Bayesian identification of a physiological model in dynamic scintigraphic data.- Image registration for the investigation of atherosclerotic plaque movement.- Using statistical pattern recognition techniques to control variable conductance diffusion.- Adaptive noise equalization and image analysis in mammography.- Continuous voxel classification by stochastic relaxation: Theory and application to MR imaging and MR angiography.- Multivariate gaussian pattern classification: Effects of finite sample size and the addition of correlated or noisy features on summary measures of goodness.- Measuring detection and localization performance.- Methods for estimating the efficiency of human and computational observers in ultrasonography.- Gabor function based medical image compression.
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