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

^*Bu çalışma için yazışmadan sorumlu yazar

Elektronik ve Hab.Müh.Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

3 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 dil	İngilizce
Ana bilgisayar yayını başlığı	International Workshop on Cellular Nanoscale Networks and their Applications
Editörler	Michael Niemier, Wolfgang Porod
Yayınlayan	IEEE Computer Society
ISBN (Elektronik)	9781479964680
DOI'lar	https://doi.org/10.1109/CNNA.2014.6888647
Yayın durumu	Yayınlandı - 29 Ağu 2014
Etkinlik	2014 14th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2014 - Notre Dame, United States Süre: 29 Tem 2014 → 31 Tem 2014

Yayın serisi

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

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2014 14th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2014
Ülke/Bölge	United States
Şehir	Notre Dame
Periyot	29/07/14 → 31/07/14

Bibliyografik not

Publisher Copyright:
© 2014 IEEE.

Belgeye Erişim

10.1109/CNNA.2014.6888647

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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 Makale 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",

editor = "Michael Niemier and Wolfgang Porod",

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

address = "United States",

}

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).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Sperm Morphology Analysis with CNN based algorithms

AU - Savkay, O. Levent

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.

UR - https://www.scopus.com/pages/publications/84907743165

U2 - 10.1109/CNNA.2014.6888647

DO - 10.1109/CNNA.2014.6888647

M3 - Conference contribution

AN - SCOPUS:84907743165

T3 - International Workshop on Cellular Nanoscale Networks and their Applications

BT - International Workshop on Cellular Nanoscale Networks and their Applications

A2 - Niemier, Michael

A2 - Porod, Wolfgang

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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