Conference
Yara iyileşmesi mikroskopi görüntü serilerinin otomatik analizi - Bir ön-çalışma ; Automated analysis of wound healing microscopy image series - A preliminary study
| العنوان: | Yara iyileşmesi mikroskopi görüntü serilerinin otomatik analizi - Bir ön-çalışma ; Automated analysis of wound healing microscopy image series - A preliminary study |
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| المؤلفون: | Mayalı, Berkay, Şaylığ, Orkun, Yalçın Özuysal, Özden, Pesen Okvur, Devrim, Töreyin, Behçet Uğur, Ünay, Devrim |
| بيانات النشر: | IEEE |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Wound healing, Phase-contrast optical microscopy, Image processing, Deep learning |
| الوصف: | 2020 Medical Technologies Congress (TIPTEKNO) -- NOV 19-20, 2020 -- ELECTR NETWORK -- Biyomedikal ve Klinik Muhendisligi Dernegi, Izmir Ekonomi Univ, Izmir Katip Celebi Univ ; 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. |
| نوع الوثيقة: | conference object |
| اللغة: | Turkish |
| ردمك: | 978-1-72818-073-1 1-72818-073-2 |
| Relation: | 2020 Medical Technologies Congress (Tiptekno); Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı; https://hdl.handle.net/11147/11786; WOS:000659419900001; 2-s2.0-85099448181 |
| الاتاحة: | https://hdl.handle.net/11147/11786 |
| Rights: | open |
| رقم الانضمام: | edsbas.B4301F0 |
| قاعدة البيانات: | BASE |
| ردمك: | 9781728180731 1728180732 |
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