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Publication detail
CHMELÍK, J. JAKUBÍČEK, R. JAN, J.
Original Title
Tumorous Spinal Lesions: Computer Aided Diagnosis and Evaluation Based on CT Data – A Review
Type
journal article in Web of Science
Language
English
Original Abstract
“Computer Aided Diagnosis (CAD)” methods are today considered an important means to facilitate and speed-up the work of medical experts, namely in detection, segmentation, and classification of both healthy and pathologic structures in medical image data. This paper provides an overview of such recently published methods aimed at analysing metastatic lesions in the spine using CT imaging. Also included are common methods of evaluation and efficiency verification of the published CAD systems. The methods of analysis and the respective CAD systems are mutually compared and their efficiencies, advantages, and drawbacks are discussed.
Keywords
metastases; spine lesions; tumour; classification; segmentation; computed tomography
Authors
CHMELÍK, J.; JAKUBÍČEK, R.; JAN, J.
Released
2. 11. 2017
Publisher
Bentham Science Publisher Ltd.
ISBN
1573-4056
Periodical
CURRENT MEDICAL IMAGING REVIEWS
Year of study
14
Number
5
State
United Arab Emirates
Pages from
686
Pages to
694
Pages count
9
URL
http://www.eurekaselect.com/node/151246/article
BibTex
@article{BUT134292, author="Jiří {Chmelík} and Roman {Jakubíček} and Jiří {Jan}", title="Tumorous Spinal Lesions: Computer Aided Diagnosis and Evaluation Based on CT Data – A Review", journal="CURRENT MEDICAL IMAGING REVIEWS", year="2017", volume="14", number="5", pages="686--694", doi="10.2174/1573405613666170331102245", issn="1573-4056", url="http://www.eurekaselect.com/node/151246/article" }