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http://hdl.handle.net/20.500.12358/25094
TitleAutomated recognition of urinary microscopic solid particles
Untitled
Abstract

Urine analysis reveals the presence of many problems and diseases in the human body. Manual microscopic urine analysis is time-consuming, subjective to human observation and causes mistakes. Computer aided automatic microscopic analysis can help to overcome these problems. This paper introduces a comprehensive approach for automating procedures for detecting and recognition of microscopic urine particles. Samples of red blood cells (RBC), white blood cells (WBC), calcium oxalate, triple phosphate and other undefined images were used in experiments. Image processing functions and segmentation were applied, shape and textural features were extracted and five classifiers were tested to get the best results. Repeated experiments were done for adjusting factors to produce the best evaluation results. A good performance was achieved compared with many related works.

Authors
Almadhoun, Mohamed D
El-Halees, Alaa M.
TypeJournal Article
Date2014
Subjects
automatic recognition
image pre-processing
image segmentation
microscopic urine analysis history
classification
computer aided medical analysis
data mining
feature extraction/selection
Published inJournal of medical engineering & technology
SeriesVolume: 38, Number: 2
PublisherTaylor & Francis
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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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