Sperm Morphology Analysis with CNN based algorithms

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 paramete...

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Published in2014 14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA) pp. 1 - 2
Main Authors Savkay, O. Levent, Cesur, Evren, Yalcin, Mustak E., Tavsanoglu, Vedat
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2014
Subjects
Algorithm design and analysis
Biomedical imaging
Computer architecture
Head
Image processing
Morphology
Shape
Online AccessGet full text
ISSN2165-0144
DOI10.1109/CNNA.2014.6888647

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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.
AbstractList 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 Yalcin, Mustak E.
Savkay, O. Levent
Tavsanoglu, Vedat
Cesur, Evren
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  surname: Tavsanoglu
  fullname: Tavsanoglu, Vedat
  organization: Dept. of Electr. & Electron. Eng., Isik Univ., Istanbul, Turkey
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Snippet In this paper Morphological Analysis part of our proposed computer-aided sperm analysis system (CASA) is simulated and the results beside the algorithm steps...
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SubjectTerms Algorithm design and analysis
Biomedical imaging
Computer architecture
Head
Image processing
Morphology
Shape
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Title Sperm Morphology Analysis with CNN based algorithms
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