Sperm morphology analysis with CNN based algorithms
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Dosyalar
Tarih
2014-08-29
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE Computer Society
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Morphology analysis, Morphology, Head, Image processing, Algorithm design and analysis, Biomedical imaging, Computer architecture, Shape, Cellular biophysics, Computer aided analysis, Medical image processing, System-on-chip, Sperm morphology analysis, CNN based algorithms, Computer-aided sperm analysis system, CASA, Algorithm steps, Sperm shape, Shape characteristics, Medical parameters, Image processing algorithms, Cellular Nanoscale Network, Spatial image processing blocks, SoC architecture
Kaynak
WoS Q Değeri
N/A
Scopus Q Değeri
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Cilt
Sayı
Künye
Şavkay, O. L., Cesur, E., Yalçın, M. E. & Tavşanoğlu, A. V. (2014). Sperm morphology analysis with CNN based algorithms. Paper presented at the 14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA), 1-2. doi:10.1109/CNNA.2014.6888647
