Urine sediment image segmentation based on feedforward backpropagation neural network

Abstract

The appearance of crystals, casts, red blood cells, white blood cells and bacteria or yeast in urine sediment is a major clinical significance. It provides important information for both diagnosis and prognosis. However, low contrast against the background, less illuminating environment and an existent of complicated components on the microscopic urine… (More)

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Cite this paper

@article{Maneesukasem2012UrineSI, title={Urine sediment image segmentation based on feedforward backpropagation neural network}, author={W. Maneesukasem and Chuchart Pintavirooj}, journal={The 5th 2012 Biomedical Engineering International Conference}, year={2012}, pages={1-4} }