Academic Journal
The Edge Detectors Suitable for Retinal OCT Image Segmentation
| العنوان: | The Edge Detectors Suitable for Retinal OCT Image Segmentation |
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| المؤلفون: | Su Luo, Jing Yang, Qian Gao, Sheng Zhou, Chang’an A. Zhan |
| المصدر: | Journal of Healthcare Engineering, Vol 2017 (2017) |
| بيانات النشر: | Hindawi Limited |
| سنة النشر: | 2017 |
| المجموعة: | Directory of Open Access Journals: DOAJ Articles |
| مصطلحات موضوعية: | Medicine (General), R5-920, Medical technology, R855-855.5 |
| الوصف: | Retinal layer thickness measurement offers important information for reliable diagnosis of retinal diseases and for the evaluation of disease development and medical treatment responses. This task critically depends on the accurate edge detection of the retinal layers in OCT images. Here, we intended to search for the most suitable edge detectors for the retinal OCT image segmentation task. The three most promising edge detection algorithms were identified in the related literature: Canny edge detector, the two-pass method, and the EdgeFlow technique. The quantitative evaluation results show that the two-pass method outperforms consistently the Canny detector and the EdgeFlow technique in delineating the retinal layer boundaries in the OCT images. In addition, the mean localization deviation metrics show that the two-pass method caused the smallest edge shifting problem. These findings suggest that the two-pass method is the best among the three algorithms for detecting retinal layer boundaries. The overall better performance of Canny and two-pass methods over EdgeFlow technique implies that the OCT images contain more intensity gradient information than texture changes along the retinal layer boundaries. The results will guide our future efforts in the quantitative analysis of retinal OCT images for the effective use of OCT technologies in the field of ophthalmology. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 2040-2295 2040-2309 |
| Relation: | http://dx.doi.org/10.1155/2017/3978410; https://doaj.org/toc/2040-2295; https://doaj.org/toc/2040-2309; https://doaj.org/article/1c399201c2d54ea3ae8fe047e53774cd |
| DOI: | 10.1155/2017/3978410 |
| الاتاحة: | https://doi.org/10.1155/2017/3978410 https://doaj.org/article/1c399201c2d54ea3ae8fe047e53774cd |
| رقم الانضمام: | edsbas.14D62179 |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 20402295 20402309 |
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| DOI: | 10.1155/2017/3978410 |