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

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

Volume: 14

Author(s): Jiri Chmelik*, Roman Jakubicek and Jiri Jan

Affiliation:

• Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno,Czech Republic

Keywords: Metastases, spine lesions, tumour, classification, segmentation, computed tomography.

Abstract: Background: “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.

Discussion: This paper provides an overview of such recently published methods aimed at analysing metastatic lesions in the spine using CT imaging. Moreover, common methods of evaluation and efficiency verification of the published CAD systems are also included.

Conclusion: The methods of analysis and the respective CAD systems are mutually compared and their efficiencies, advantages, and drawbacks are discussed.

Cite this article as:

Chmelik Jiri*, Jakubicek Roman and Jan Jiri , Tumorous Spinal Lesions: Computer Aided Diagnosis and Evaluation Based on CT Data - A Review, Current Medical Imaging 2018; 14 (5) . https://dx.doi.org/10.2174/1573405613666170331102245

DOI https://dx.doi.org/10.2174/1573405613666170331102245	Print ISSN 1573-4056
Publisher Name Bentham Science Publisher	Online ISSN 1875-6603