Sperm Morphology Analysis with CNN based algorithms

O. Levent Savkay; Evren Cesur; Mustak E. Yalcin; Vedat Tavsanoglu

doi:10.1109/CNNA.2014.6888647

Sperm Morphology Analysis with CNN based algorithms

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

^*Corresponding author for this work

Department of Electronics and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 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 language	English
Title of host publication	International Workshop on Cellular Nanoscale Networks and their Applications
Editors	Michael Niemier, Wolfgang Porod
Publisher	IEEE Computer Society
ISBN (Electronic)	9781479964680
DOIs	https://doi.org/10.1109/CNNA.2014.6888647
Publication status	Published - 29 Aug 2014
Event	2014 14th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2014 - Notre Dame, United States Duration: 29 Jul 2014 → 31 Jul 2014

Publication series

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

Conference

Conference	2014 14th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2014
Country/Territory	United States
City	Notre Dame
Period	29/07/14 → 31/07/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Access to Document

10.1109/CNNA.2014.6888647

Cite this

Savkay, O. L., Cesur, E., Yalcin, M. E., & Tavsanoglu, V. (2014). Sperm Morphology Analysis with CNN based algorithms. In M. Niemier, & W. Porod (Eds.), International Workshop on Cellular Nanoscale Networks and their Applications Article 6888647 (International Workshop on Cellular Nanoscale Networks and their Applications). IEEE Computer Society. https://doi.org/10.1109/CNNA.2014.6888647

@inproceedings{edfbafdec0204083a1063bef79a4dc53,

title = "Sperm Morphology Analysis with CNN based algorithms",

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.",

author = "Savkay, {O. Levent} and Evren Cesur and Yalcin, {Mustak E.} and Vedat Tavsanoglu",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 14th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2014 ; Conference date: 29-07-2014 Through 31-07-2014",

year = "2014",

month = aug,

day = "29",

doi = "10.1109/CNNA.2014.6888647",

language = "English",

series = "International Workshop on Cellular Nanoscale Networks and their Applications",

publisher = "IEEE Computer Society",

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}

Savkay, OL, Cesur, E, Yalcin, ME & Tavsanoglu, V 2014, Sperm Morphology Analysis with CNN based algorithms. in M Niemier & W Porod (eds), International Workshop on Cellular Nanoscale Networks and their Applications., 6888647, International Workshop on Cellular Nanoscale Networks and their Applications, IEEE Computer Society, 2014 14th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2014, Notre Dame, United States, 29/07/14. https://doi.org/10.1109/CNNA.2014.6888647

Sperm Morphology Analysis with CNN based algorithms. / Savkay, O. Levent; Cesur, Evren; Yalcin, Mustak E. et al.
International Workshop on Cellular Nanoscale Networks and their Applications. ed. / Michael Niemier; Wolfgang Porod. IEEE Computer Society, 2014. 6888647 (International Workshop on Cellular Nanoscale Networks and their Applications).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Cesur, Evren

AU - Yalcin, Mustak E.

AU - Tavsanoglu, Vedat

PY - 2014/8/29

Y1 - 2014/8/29

N2 - 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.

AB - 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.

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DO - 10.1109/CNNA.2014.6888647

M3 - Conference contribution

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T3 - International Workshop on Cellular Nanoscale Networks and their Applications

BT - International Workshop on Cellular Nanoscale Networks and their Applications

A2 - Niemier, Michael

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PB - IEEE Computer Society

T2 - 2014 14th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2014

Y2 - 29 July 2014 through 31 July 2014

ER -

Sperm Morphology Analysis with CNN based algorithms

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