OCTID: Optical coherence tomography image database

被引：85

作者：

Gholami, Peyman ^{[1
]}

Roy, Priyanka ^{[1
]}

Parthasarathy, Mohana Kuppuswamy ^{[1
]}

Lakshminarayanan, Vasudevan ^{[1
]}

机构：

[1] Univ Waterloo, Sch Optometry & Vis Sci, TEEL, 200 Univ Ave West, Waterloo, ON N2L 3G1, Canada

来源：

COMPUTERS & ELECTRICAL ENGINEERING | 2020年 / 81卷

基金：

加拿大自然科学与工程研究理事会;

关键词：

Optical coherence tomography; Image database; Image processing; Retinal disease; Retina; Macular hole; Age-related macular degeneration; Cenrtal serous retinopathy; Diabetic retinopathy; Segmentation; MACULAR DEGENERATION;

D O I：

10.1016/j.compeleceng.2019.106532

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Optical coherence tomography (OCT) is a non-invasive imaging modality that is widely used in clinical ophthalmology. OCT images are capable of visualizing deep retinal layers which is crucial for early diagnosis of retinal diseases. In this paper, we describe a comprehensive open-access database containing more than 500 high-resolution images categorized into different pathological conditions. The image classes include Normal (NO), Macular Hole (MH), Age-related Macular Degeneration (AMD), Central Serous Retinopathy (CSR), and Diabetic Retinopathy (DR). The images were obtained from a raster scan protocol with a 2 mm scan length and 512 x 1024 pixel resolution. We have also included 25 normal OCT images with their corresponding ground truth delineations which can be used for an accurate evaluation of OCT image segmentation. In addition, we have provided a user friendly GUI which can be used by clinicians for manual (and semi-automated) segmentation. (C) 2019 Elsevier Ltd. All rights reserved.

引用

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