Automated Detection and Mining of Microscopic Urine Particles

Urine analysis is an important test in medical labs and deserves interest as it reveals the presence of many problems and diseases in human body. This book introduced a comprehensive approach for automating computer aided procedures for detecting and mining microscopic urine particles. Samples of RBC, WBC, epithelial cell, calcium oxalate, triple phosphate, and other undefined particles were used in experiments. Experiments were applied in two tracks; first considered vague particles which have very light boundaries like epithelial cells, and second considered the solid particles that have strong boundaries and also filtered out the undefined particles. The chosen approach is considered optimum as it achieved higher performance measurements with strong methodology and evaluation techniques.

Autorentext

Is academic teacher at University College of Applied Sciences; he has bachelor's degree of computer engineering, and master of information technology. He took control of IEEE students branch at IUG, worked as a project manager at Logicteca company, worked as a teacher assistant at Islamic University of Gaza, and head of computer center at UCAS.