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Research Paper | Medicine Science | Sudan | Volume 5 Issue 8, August 2016
Characterization of Kidney Infection in Ultrasound B-mode Images Using Texture Analysis
MEM Garelnabi [2] | Ibtisam Abdulallah [2] | A. H. A. Bakry [5] | Elsafi Ahmed Abdulla [2] | Mohamed Adam [4]
Abstract: The general objective of this study was to develop an algorithm that can extracted textural features from ultrasound images of normal and abnormal kidneys in order to classify these images as having normal tissues, glomerulonephritis, or pyelonephritis. Linear discriminant analysis was used to classify the extracted features from the medulla and pelvic calycle system of kidneys ultrasound images. The results of the study showed that the overall accuracy using medulla texture equal to 98 % while for those extracted from pelvic calycle system was 95.7. In conclusion linear function was developed to classify other ultrasound images with an error <5 %.
Keywords: B-mode ultrasound, Kidney, Texture Analysis, Feature Extraction
Edition: Volume 5 Issue 8, August 2016,
Pages: 1195 - 1199
How to Cite this Article?
MEM Garelnabi, Ibtisam Abdulallah, A. H. A. Bakry, Elsafi Ahmed Abdulla, Mohamed Adam, "Characterization of Kidney Infection in Ultrasound B-mode Images Using Texture Analysis", International Journal of Science and Research (IJSR), Volume 5 Issue 8, August 2016, pp. 1195-1199, https://www.ijsr.net/get_abstract.php?paper_id=ART20161121
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