Sperm Morphology Analysis with CNN based algorithms

O. Levent Savkay*, Evren Cesur, Mustak E. Yalcin, Vedat Tavsanoglu

*Bu çalışma için yazışmadan sorumlu yazar

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2 Atıf (Scopus)

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıInternational Workshop on Cellular Nanoscale Networks and their Applications
EditörlerMichael Niemier, Wolfgang Porod
YayınlayanIEEE Computer Society
ISBN (Elektronik)9781479964680
DOI'lar
Yayın durumuYayınlandı - 29 Ağu 2014
Etkinlik2014 14th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2014 - Notre Dame, United States
Süre: 29 Tem 201431 Tem 2014

Yayın serisi

AdıInternational Workshop on Cellular Nanoscale Networks and their Applications
ISSN (Basılı)2165-0160
ISSN (Elektronik)2165-0179

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???event.eventtypes.event.conference???2014 14th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2014
Ülke/BölgeUnited States
ŞehirNotre Dame
Periyot29/07/1431/07/14

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Publisher Copyright:
© 2014 IEEE.

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