Computer-assisted system with multiple feature fused support vector machine for sperm morphology diagnosis.

TitleComputer-assisted system with multiple feature fused support vector machine for sperm morphology diagnosis.
Publication TypeJournal Article
Year of Publication2013
AuthorsTseng K-K, Li Y, Hsu C-Y, Huang H-N, Zhao M, Ding M
JournalBioMed research international
Volume2013
Pagination687607
Date Published2013
Abstract

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 sperm's contour with gray level information. Our approach can handle rotation and scaling of the image. Moreover, it is fused with SVM classification to improve its accuracy. In our evaluation, our method has better performance than the existing approaches to sperm classification.

DOI10.1155/2013/734893
Alternate JournalBiomed Res Int