Healthy and unhealthy red blood cell detection in human blood smears using neural networks
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- 作者：Hany A. Elsalamonya ; b ; h_salamony@yahoo.com" class="auth_mail" title="E-mail the corresponding author ; hanyelsalamony@gmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Healthy/unhealthy RBC detection and counting ; Circular hough transforms ; Segmentation ; Neural network
- 刊名：Micron
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：83
- 期：Complete
- 页码：32-41
- 全文大小：3735 K
文摘
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Detection of healthy/unhealthy RBCs using a proposed algorithm.
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The proposed algorithm detects unhealthy types of anemia (sickle, elliptocytosis, microsites and unknown shapes).
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Classification performance of neural network.
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Classification of sickle, elliptocytosis, microsites, and unknown shapes anaemia based on cell shapes in coloured microscopic image.
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The results are compared using classification accuracy, sensitivity and specificity.