Analysis of Kidney Ultrasound Images Characterization Using Statistical Moment Descriptor

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Commonly the abnormalities of renal diseases were diagnosed and described using morphological or radiological nomenclature. In distinguishing abnormalities, especially kidney diseases, it is important to characterize the ultrasound images more objectively. This study used The Statistical Moment Descriptor (SMD) with the pixel-level spatial distribution of B-mode ultrasound to analyze three types of the area such as the full kidney, the renal pelvis, and the cortex of fifty kidney ultrasound images. The significant SMD properties that can distinguish the normal from the abnormal ones with 95% confident level are the Mean (p=1.11e-04), the Median (p=0.0051), the Kurtosis (p=0.0053), the Standard Deviation (p=0.0082), and the Entropy (p=0.019) unlike Range (p= 0.091) and Skewness (p=0.1389). Renal pelvis and cortex areas plotting method is unable to distinguish the abnormalities for the CKD on some properties.

Original languageEnglish
Title of host publication2018 International Conference on Computer, Control, Informatics and its Applications
Subtitle of host publicationRecent Challenges in Machine Learning for Computing Applications, IC3INA 2018 - Proceeding
EditorsArnida L. Latifah
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages17-22
Number of pages6
ISBN (Electronic)9781538657416
DOIs
Publication statusPublished - 29 Jan 2019
Event6th International Conference on Computer, Control, Informatics and its Applications, IC3INA 2018 - Tangerang, Indonesia
Duration: 1 Nov 20182 Nov 2018

Publication series

Name2018 International Conference on Computer, Control, Informatics and its Applications: Recent Challenges in Machine Learning for Computing Applications, IC3INA 2018 - Proceeding

Conference

Conference6th International Conference on Computer, Control, Informatics and its Applications, IC3INA 2018
Country/TerritoryIndonesia
CityTangerang
Period1/11/182/11/18

Keywords

  • Characterization
  • CKD
  • Kidney
  • SMD
  • Ultrasound

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