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Model-Based Brain Tissue Classification.- Supervised Texture Classification for Intravascular Tissue Characterization.- Medical Image Segmentation: Methods and Applications in Functional Imaging.- Automatic Segmentation of Pancreatic Tumors in Computed Tomography.- Computerized Analysis and Vasodilation Parameterization in Flow-Mediated Dilation Tests from Ultrasonic Image Sequences.- Statistical and Adaptive Approaches for Optimal Segmentation in Medical Images.- Automatic Analysis of Color Fundus Photographs and Its Application to the Diagnosis of Diabetic Retinopathy.- Segmentation Issues in Carotid Artery Atherosclerotic Plaque Analysis with MRI.- Accurate Lumen Identification, Detection, and Quantification in MR Plaque Volumes.- Hessian-Based Multiscale Enhancement, Description, and Quantification of Second-Order 3-D Local Structures from Medical Volume Data.- A Knowledge-Based Scheme for Digital Mammography.- Simultaneous Fuzzy Segmentation of Medical Images.- Computer-Aided Diagnosis of Mammographic Calcification Clusters: Impact of Segmentation.- Computer-Supported Segmentation of Radiological Data.
Herausgegeben von David Wilson & Swamy Laxminarayan
Format
PDF-ebook
Sprache
englisch 
Altersgruppe
02-99
Seiten
816
Dateigröße
26.0 MB
abrufbar
24 Monate
Kopierschutz
Adobe DRM
Verlag
Springer US
Erscheinungsort
NY/US
Ausgabe
Ausgabe
Artikel
DG2143668

'Handbook of Biomedical Image Analysis' von David Wilson & Swamy Laxminarayan ist ein digitales PDF ebook zum direkten download auf PC, Mac, Notebook, Tablet, iPad, iPhone, Smartphone, eReader - nicht aber auf Kindle. Sie benötigen eine DRM-fähige Reader-Ausstattung.

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