Texture analysis

Ali Abbasian Ardakani; Alireza Rasekhi; Afshin Mohammadi; Ebrahim Motevalian; Bahareh Khalili Najafabad

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Texture analysis

AA Ali Abbasian Ardakani

AR Alireza Rasekhi

AM Afshin Mohammadi

EM Ebrahim Motevalian

BN Bahareh Khalili Najafabad

This method is extracted from research article: Pol J Radiol, Feb 2018

Differentiation between metastatic and tumour-free cervical lymph nodes in patients with papillary thyroid carcinoma by grey-scale sonographic texture analysis

DOI: 10.5114/pjr.2018.75017

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MaZda software version 4.6 (Technical University of Lodz, Institute of Electronics) was used for texture analysis. One 2D region of interest (ROI) was selected for each node; hence, 274 non-overlap ROIs (137 tumour-free and 137 metastatic) were selected for discrimination and classification. The sizes of the ROIs depended on nodes, where the mean size of the ROI was 15 × 15 mm. Either an endocrinologist or a general surgeon referred the cases based on clinical indication and routine patient follow-up. The images were compared with FNA cytology and the reference for statistical analysis.

This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivatives 4.0 International (CC BY-NC-ND 4.0). License allowing third parties to download articles and share them with others as long as they credit the authors and the publisher, but without permission to change them in any way or use them commercially.

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