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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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Главные авторы: | , , , , , |
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Формат: | Artigo |
Язык: | Inglês |
Опубликовано: |
Hindawi Limited
2013-01-01
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Серии: | BioMed Research International |
Online-ссылка: | http://dx.doi.org/10.1155/2013/687607 |
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