Embryo Spatial Model Reconstruction

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Date

2020

Journal Title

Journal ISSN

Volume Title

Publisher

Springer international Publishing Ag

Research Projects

Organizational Units

Organizational Unit
Computer Engineering
(1998)
The Atılım University Department of Computer Engineering was founded in 1998. The department curriculum is prepared in a way that meets the demands for knowledge and skills after graduation, and is subject to periodical reviews and updates in line with international standards. Our Department offers education in many fields of expertise, such as software development, hardware systems, data structures, computer networks, artificial intelligence, machine learning, image processing, natural language processing, object based design, information security, and cloud computing. The education offered by our department is based on practical approaches, with modern laboratories, projects and internship programs. The undergraduate program at our department was accredited in 2014 by the Association of Evaluation and Accreditation of Engineering Programs (MÜDEK) and was granted the label EUR-ACE, valid through Europe. In addition to the undergraduate program, our department offers thesis or non-thesis graduate degree programs (MS).

Journal Issue

Abstract

Time lapse microscopy offered new solutions to study embryo development process. It allows embryologist to monitor embryo growth in real time and evaluate them without interfering into their growth environment. Embryo evaluation during growth process is one of the key criteria in embryo selection for fertilization. Live embryo monitoring is time consuming and new tools are offered to automate part of process. Our proposed algorithm gives new possibilities for embryo monitoring. It uses embryo images which are taken from different embryo layers, extracts embryo cell features and returns metrical evaluation to compare different embryos. High number of extracted features shows embryo fragmentation. Other tool whichwe present is spatial embryo model. Features extracted from embryo layers are combined together to spatial model. It allows embryologist to examine embryo model and compare different layers in one space. The obtained spatial embryo model will be later used to develop new algorithms for embryo analysis tasks.

Description

Maskeliunas, Rytis/0000-0002-2809-2213; Misra, Sanjay/0000-0002-3556-9331; Dirvanauskas, Darius/0000-0001-5471-1893

Keywords

Image analysis, Spatial model, Feature extraction

Turkish CoHE Thesis Center URL

Citation

0

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Scopus Q

Source

20th International Conference on Computational Science and Its Applications (ICCSA) -- JUL 01-04, 2020 -- ELECTR NETWORK

Volume

12253

Issue

Start Page

772

End Page

780

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