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Springer Handbook of Biomedical Imaging: Methodologies and Clinical Research

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Description

This Springer handbook provides a comprehensive exploration of computer-assisted biomedical image analysis and diagnosis through mathematical modelling and inference of image-based biomarkers. The book addresses five key thematic areas: methodologies, statistical and physiological models, biomedical perception, clinical biomarkers, and emerging modalities and domains. Readers gain in-depth knowledge of state-of-the-art techniques including fuzzy methods, level set methods, kernel methods, and geometric deformable models. These established approaches enable effective content extraction and interpretation of medical images for clinical diagnosis and treatment planning. The volume represents part of the Lecture Notes in Computer Science series (volume 779) and serves as an essential reference for researchers, clinicians, and practitioners working in medical imaging, computer vision, and biomedical engineering who seek to understand current methodologies and their applications in clinical settings.

Key Features

The handbook covers five crucial thematic areas including methodologies, statistical models, physiological models, biomedical perception, and clinical biomarkers relevant to biomedical imaging.

State-of-the-art content extraction methodologies described include fuzzy methods, level set methods, kernel methods, and geometric deformable models for medical image interpretation.

This Lecture Notes in Computer Science volume (779) presents mathematical modelling and inference techniques for extracting and analysing image-based biomarkers from medical images.

The book addresses practical applications of biomedical imaging methodologies in clinical diagnosis, treatment planning, and emerging imaging domains and modalities.

Product Specifications

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

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