Analysis of sperm motility with CNN architecture

Savkay, O. Levent; Yalçın, Müştak E.

doi:10.1109/cnna.2012.6331420

Cited by 6 publications

(9 citation statements)

References 6 publications

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“…1, which was previously simulated on a software environment and the results were verified [4]. The system consists of two parts, pre-and post-processing, where in the former data acquisition and image processing tasks are performed, while in the latter traces are found and the evaluation is carried out.…”

Section: Tracking Algorithm and System Architecturementioning

confidence: 99%

“…The system consists of two parts, pre-and post-processing, where in the former data acquisition and image processing tasks are performed, while in the latter traces are found and the evaluation is carried out. The preprocessing part consists of image acquisition, image enhancement, background removal and object representation [4]. On the other hand, multiple object tracking and data evaluation tasks are carried out in the post-processing part.…”

Section: Tracking Algorithm and System Architecturementioning

confidence: 99%

“…Our proposed system [4] consists of two main bodies: the pre-and post-processing parts where the former deals with video acquisition and image processing and the latter acts as a decision maker. The realization of the video acquisition and image preprocessing blocks on hardware is the main focus of this paper.…”

Section: Introductionmentioning

confidence: 99%

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Realization of preprocessing blocks of CNN based CASA system on FPGA

Savkay

Yildiz

Cesur

et al. 2013

2013 European Conference on Circuit Theory and Design (ECCTD)

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In this paper, hardware optimization of the preprocessing part of a computer aided semen analysis (CASA) system is proposed, which is also implemented on an FPGA device as a working prototype. A real-time cellular neural network (CNN) emulator (RTCNNP-v2) is used for the realization of the image processing algorithms, whose regular, flexible and reconfigurable infrastructure simplifies the prototyping process. For future work, the post-processing part of the CASA system is proposed to be implemented on the same FPGA device as software, using either a soft or hard processor core. By the integration of the pre-and post-processing parts, the designed CASA system will be capable of processing full-HD 1080p@60 (1080×1920) video images in real-time.

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Section: Tracking Algorithm and System Architecturementioning

confidence: 99%

Section: Tracking Algorithm and System Architecturementioning

confidence: 99%

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Realization of preprocessing blocks of CNN based CASA system on FPGA

Savkay

Yildiz

Cesur

et al. 2013

2013 European Conference on Circuit Theory and Design (ECCTD)

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“…Sistemin CPU üzerinde çalışacak olan bölümleri ise bir bilgisayarda Windows işletim sistemi üzerinde ve daha sonra da Zynq7000 üzerindeki Arm9 işlemcide gerçek zamanlı olarak işletim sistemi olmadan uygulanmıştır [4], [5].…”

Section: Sperm Anali̇zi̇ Ve Bi̇yoloji̇k öZelli̇klerunclassified

“…[3] sistemi üzerinde [4] gerçeklenmiştir. Daha sonra ise motilite analizinin işleme kısmı Xilinx firmasının geliştirdiği karma tümdevresi olan Zynq üzerindeki ARM işlemcide herhangi bir işletim sitemi veya kütüphane kullanılmadan [5] gerçeklenmiştir. Son olarak ise sperm analizinin diğer bir parçası olan morfoloji analizinin gerçeklemesi [6] yapılmıştır.…”

Section: Introductionunclassified

Computer assisted sperm analysis system designed on a hybrid CPU + FPGA architecture

Savkay¹,

Tavşanoglu

Yalçın³

et al. 2015

2015 23nd Signal Processing and Communications Applications Conference (SIU)

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Özetçe-Bu bildiride karma CPU + FPGA tabanlı bir donanım mimarisi üzerinde tasarlanan Bilgisayar DestekliSemen Analizi (BDSA) sistemi genel özellikleri ile anlatılmıştır. Spermatozoa motilite analizi hareketli çoklu nesne izleme algoritmasıdır, spermatozoa morfoloji analizi için ise ard arda uygulanan çeşitli durağan görüntü işleme yöntemleri ile yapılmaktadır. Sistemimizde kullanılan ve yüksek hız gerektiren hareketli ve durağan görüntü işleme işlevleri için FPGA yapısının paralel işlem yeteneğinden yararlanılmıştır. Çeşitli hesaplamalar ise geliştirilen özel yazılım ile CPU üzerinde gerçeklenmiştir. Biyolojik mikroskoba takılabilen bir HD dijital kamerayı da içermekte olan sistemimizin esnek programlanabilen ve tek başına çalışabilen bir akıllı sistem olarak çalışması da öngörülmüştür. Anahtar Kelimeler -BDSA, sperm analizi, motilite, morfoloji, hareketli nesne izleme, segmantasyon, nesne belirleme, görüntü işleme, FPGA, CPU.Abstract-In this paper a Computer Assisted Semen Analysis (CASA) system designed on a hybrid CPU + FPGA hardware platform is presented. Multiple moving object tracking technique is used for spermatozoa motility analysis and an algorithm consisting of compositely applied various image processing techniques is used for spermatozoa morphology analysis. The parallel processing architecture of FPGA's are utilized for the image and video processing functions that our system use where high speed processing power is required. Various calculations are done on CPU by utilizing developed software. Our system incorporates also an HD digital camera which is mounted on a biological microscope. It has also been foreseen that our system will be a standalone intelligence system and flexibly programmable for different jobs.

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Smartphone based sperm counting - an alternative way to the visual assessment technique in sperm concentration analysis

İlhan

Aydın

2019

Multimed Tools Appl

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Analysis of sperm motility with CNN architecture

Cited by 6 publications

References 6 publications

Realization of preprocessing blocks of CNN based CASA system on FPGA

Realization of preprocessing blocks of CNN based CASA system on FPGA

Computer assisted sperm analysis system designed on a hybrid CPU + FPGA architecture

Smartphone based sperm counting - an alternative way to the visual assessment technique in sperm concentration analysis

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