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https://hdl.handle.net/11147/11786
Title: | Yara İyileşmesi Mikroskopi Görüntü Serilerinin Otomatik Analizi - Bir Ön-çalışma | Other Titles: | Automated analysis of wound healing microscopy image series - A preliminary study | Authors: | Mayalı, Berkay Şaylığ, Orkun Yalçın Özuysal, Özden Pesen Okvur, Devrim Töreyin, Behçet Uğur Ünay, Devrim |
Keywords: | Wound healing Phase-contrast optical microscopy Image processing Deep learning |
Publisher: | IEEE | Abstract: | Collective cell analysis from microscopy image series is important for wound healing research. Computer-based automation of such analyses may help in rapid acquisition of reliable and reproducible results. In this study phase -contrast optical microscopy image series of an in-vitro wound healing essay is manually delineated by two experts and its analysis is realized, traditional image processing and deep learning based approaches for automated segmentation of wound area are developed and their perlOrmance comparisons are carried out. | Description: | 2020 Medical Technologies Congress (TIPTEKNO) -- NOV 19-20, 2020 -- ELECTR NETWORK -- Biyomedikal ve Klinik Muhendisligi Dernegi, Izmir Ekonomi Univ, Izmir Katip Celebi Univ | URI: | https://hdl.handle.net/11147/11786 | ISBN: | 978-1-7281-8073-1 |
Appears in Collections: | Molecular Biology and Genetics / Moleküler Biyoloji ve Genetik Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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File | Size | Format | |
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Automated_Analysis_of_Wound.pdf | 298.33 kB | Adobe PDF | View/Open |
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