標題: Supervised Neural Networks for the Automatic Classification of Leukocytes in Blood Microscope Images
作者: Lin, Sheng-Fuu
Tseng, Chien-Hao
Huang, Chung-I
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: Automatic cell classification;multilayer perceptron (MLP);morphological analysis;image processing
公開日期: 2014
摘要: In this paper, the application of the supervised learning system to automatic classification of leukocytes processing for the microscopic images analysis is presented. The traditional pattern classification in cellular images is typically made by experienced operators. Such procedures may present a non-standard and unstable accuracy when it depends on the operator\'s capabilities and tiredness. In this study, we propose the supervised learning system to achieve an automated segmentation and classification of leukocytes based on supervised neural networks and image processing methods. The experimental results show that the proposed automatic classification learning system can effectively classify the five types of the leukocytes in microscopic cell images, as well as to compare the classification results to those obtained by the medical experts.
URI: http://hdl.handle.net/11536/24550
http://dx.doi.org/10.4028/www.scientific.net/AMM.479-480.491
ISBN: 978-3-03785-947-6
ISSN: 1660-9336
DOI: 10.4028/www.scientific.net/AMM.479-480.491
期刊: APPLIED SCIENCE AND PRECISION ENGINEERING INNOVATION, PTS 1 AND 2
Volume: 479-480
起始頁: 491
結束頁: 495
顯示於類別:會議論文