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Towards Effective Diagnosis and Prediction via 3D Patient Model: A Complete Research Plan Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

12. Computer Aided Diagnosis: State-of-the-Art and Application to Musculoskeletal Diseases

verfasst von : Patrizia Parascandolo, Lorenzo Cesario, Loris Vosilla, Gianni Viano

Erschienen in: 3D Multiscale Physiological Human

Verlag: Springer London

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Abstract

Recently, computer-aided diagnosis (CAD) has become one of the major research subjects in medical imaging and diagnostic radiology. Many different types of CAD systems are being developed for detection and/or characterization of various lesions in medical imaging, including conventional projection radiography, computed tomography (CT), magnetic resonance imaging (MRI) and ultrasound (US).
The goal of a CAD is to improve the quality and productivity of physicians’ job by improving the accuracy and consistency of radiological diagnosis. CAD takes into account equally the roles of physicians and computers, whereas automated computer diagnosis is based on computer algorithms only. With CAD, the performance by computers does not have to be comparable to or better than that by physicians, but needs to be complementary to that by physicians. In fact, CAD systems are currently used to help in early diagnostic process and follow-up. This task is especially useful for musculoskeletal diseases, chronic pathologies which need early diagnosis, adequate follow-up, and timely monitoring of disease indicators.
This chapter describes the state of the art of CAD systems and discusses related issues and trends for musculoskeletal diseases, using as case study the Rheumatoid Arthritis (RA) and the software tool RheumaSCORE.

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Vorheriges Kapitel Coupled Biomechanical Modeling of the Face, Jaw, Skull, Tongue, and Hyoid Bone
Nächstes Kapitel Accessing and Representing Knowledge in the Medical Field: Visual and Lexical Modalities
Fußnoten
1
DIMI—Dipartimento di Medicina Interna, Clinica Reumatologica, Università degli Studi di Genova.
 
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Metadaten
Titel
Computer Aided Diagnosis: State-of-the-Art and Application to Musculoskeletal Diseases
verfasst von
Patrizia Parascandolo
Lorenzo Cesario
Loris Vosilla
Gianni Viano
Copyright-Jahr
2014
Verlag
Springer London
Buch
3D Multiscale Physiological Human

Print ISBN: 978-1-4471-6274-2

Electronic ISBN: 978-1-4471-6275-9

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-1-4471-6275-9_12

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