DocumentCode :
1796409
Title :
Sperm Morphology Analysis with CNN based algorithms
Author :
Savkay, O. Levent ; Cesur, Evren ; Yalcin, Mustak E. ; Tavsanoglu, Vedat
Author_Institution :
Dept. of Electron. & Commun. Eng., Istanbul Tech. Univ., Istanbul, Turkey
fYear :
2014
fDate :
29-31 July 2014
Firstpage :
1
Lastpage :
2
Abstract :
In this paper Morphological Analysis part of our proposed computer-aided sperm analysis system (CASA) is simulated and the results beside the algorithm steps are presented. The morphology analysis is simply dealing with shape of the sperms and extracting the shape characteristics in medical parameters. The characteristics are obtained by image processing algorithms which utilizes Cellular Nanoscale Network (CNN) based and spatial image processing blocks. The following calculation of medical parameters are obtained from the outputs of image processing blocks. The algorithm is so designed to adapt the final SoC architecture such as Xilinx Zynq7000 device.
Keywords :
cellular biophysics; computer aided analysis; medical image processing; system-on-chip; CASA; CNN based algorithms; Cellular Nanoscale Network; SoC architecture; algorithm steps; computer-aided sperm analysis system; image processing algorithms; medical parameters; shape characteristics; spatial image processing blocks; sperm morphology analysis; sperm shape; Algorithm design and analysis; Biomedical imaging; Computer architecture; Head; Image processing; Morphology; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Nanoscale Networks and their Applications (CNNA), 2014 14th International Workshop on
Conference_Location :
Notre Dame, IN
Type :
conf
DOI :
10.1109/CNNA.2014.6888647
Filename :
6888647
Link To Document :
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