Please use this identifier to cite or link to this item:
Title: Yara iyileşmesi 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
Issue Date: 2020
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
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

Files in This Item:
File SizeFormat 
Automated_Analysis_of_Wound.pdf298.33 kBAdobe PDFView/Open
Show full item record

CORE Recommender


checked on Feb 17, 2024

Page view(s)

checked on Feb 19, 2024


checked on Feb 19, 2024

Google ScholarTM



Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.