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Computer-Assisted System with Multiple Feature Fused Support Vector Machine for Sperm Morphology Diagnosis

Sperm morphology is an important technique in identifying the health of sperms. In this paper we present a new system and novel approaches to classify different kinds of sperm images in order to assess their health. Our approach mainly relies on a one-dimensional feature which is extracted from the...

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Библиографические подробности
Главные авторы: Kuo-Kun Tseng, Yifan Li, Chih-Yu Hsu, Huang-Nan Huang, Ming Zhao, Mingyue Ding
Формат: Artigo
Язык:Inglês
Опубликовано: Hindawi Limited 2013-01-01
Серии:BioMed Research International
Online-ссылка:http://dx.doi.org/10.1155/2013/687607
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