Publication result detail

Tumorous Spinal Lesions: Computer Aided Diagnosis and Evaluation Based on CT Data – A Review

CHMELÍK, J.; JAKUBÍČEK, R.; JAN, J.

Original Title

Tumorous Spinal Lesions: Computer Aided Diagnosis and Evaluation Based on CT Data – A Review

English Title

Tumorous Spinal Lesions: Computer Aided Diagnosis and Evaluation Based on CT Data – A Review

Type

WoS Article

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.

English 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

Key words in English

metastases; spine lesions; tumour; classification; segmentation; computed tomography

Authors

CHMELÍK, J.; JAKUBÍČEK, R.; JAN, J.

RIV year

2018

Released

02.11.2017

Publisher

Bentham Science Publisher Ltd.

ISBN

1573-4056

Periodical

Current Medical Imaging

Volume

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",
  year="2017",
  volume="14",
  number="5",
  pages="686--694",
  doi="10.2174/1573405613666170331102245",
  issn="1573-4056",
  url="http://www.eurekaselect.com/node/151246/article"
}

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