Sperm Morphology Analysis with CNN based algorithms

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationInternational Workshop on Cellular Nanoscale Networks and their Applications
EditorsMichael Niemier, Wolfgang Porod
PublisherIEEE Computer Society
ISBN (Electronic)9781479964680
DOIs
Publication statusPublished - 29 Aug 2014
Event2014 14th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2014 - Notre Dame, United States
Duration: 29 Jul 201431 Jul 2014

Publication series

NameInternational Workshop on Cellular Nanoscale Networks and their Applications
ISSN (Print)2165-0160
ISSN (Electronic)2165-0179

Conference

Conference2014 14th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2014
Country/TerritoryUnited States
CityNotre Dame
Period29/07/1431/07/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

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