Publication: Sperm Morphology Analysis with CNN based algorithms
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IEEE
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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. Publisher's Version
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2014 14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA)
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CLOSED
Keywords
Morphology, CASA, Shape characteristics, CNN based algorithms, Cellular Nanoscale Network, Image processing, Biomedical imaging, Spatial image processing blocks, Algorithm design and analysis, Image processing algorithms, Computer architecture, Medical image processing, Medical parameters, Computer aided analysis, Cellular biophysics, Shape, SoC architecture, Sperm shape, Sperm morphology analysis, Computer-aided sperm analysis system, Algorithm steps, Head, Morphology analysis, System-on-chip