£117.98

Springer Handbook of Biomedical Imaging - LNCS 779

9780387097480

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Description

Explore the complex world of computer assisted biomedical image analysis with this comprehensive guide from Springer. This volume, part of the Lecture Notes in Computer Science series, provides a deep look into the mathematical modeling and inference of image-based biomarkers. It is designed for professionals and researchers looking to understand how image data translates into clinical diagnosis and planning. The text organizes information into five key thematic areas: methodologies, statistical and physiological models, biomedical perception, clinical biomarkers, and emerging modalities. By studying these frameworks, readers gain insight into the state-of-the-art techniques used for content extraction and medical image interpretation. Whether you are researching new imaging domains or studying existing models, this handbook covers the essential technical foundations required for modern medical imaging research. It bridges the gap between mathematical theory and practical clinical application, making it a valuable resource for the scientific community.

Key Features

Covers five key thematic areas including methodologies, statistical models, and emerging modalities for biomedical imaging research.

Explains mathematical modeling and inference techniques used for identifying and analyzing image-based biomarkers.

Details state-of-the-art methodologies for medical image interpretation, such as fuzzy methods and level set methods.

Discusses advanced technical approaches including kernel methods and geometric deformable models for content extraction.

Provides essential information on models used in medical diagnosis and clinical planning processes.

Part of the Lecture Notes in Computer Science series, offering academic depth for computing and AI research.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
25 March 2015
Listed Since
27 March 2008

Barcode

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