Sperm Morphology Analysis with CNN Based Algorithms


SAVKAY O. L. , CESUR E., Yalcin M. E. , TAVSANOGLU V.

14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA), Indiana, Amerika Birleşik Devletleri, 29 - 31 Temmuz 2014 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/cnna.2014.6888647
  • Basıldığı Şehir: Indiana
  • Basıldığı Ülke: Amerika Birleşik Devletleri

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.