Automated Analysis of Wound Healing Microscopy Image Series - A Preliminary Study Yara Iyilesmesi Mikroskopi Görüntü Serilerinin Otomatik Analizi - Bir Ön-Çalisma

Mayalive B., Saylig O., Özuysal Ö. Y., Okvur D. P., Töreyin B. U., Ünay D.

2020 Medical Technologies Congress, TIPTEKNO 2020, Antalya, Turkey, 19 - 20 November 2020 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/tiptekno50054.2020.9299213
  • City: Antalya
  • Country: Turkey
  • Istanbul Technical University Affiliated: Yes

Abstract

© 2020 IEEE.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 performance comparisons are carried out.