从OCT图像中提取GCL和ILM层用于青光眼检测

2021 International Conference on Computational Intelligence and Computing Applications (ICCICA) Pub Date : 2021-11-26 DOI:10.1109/iccica52458.2021.9697135

Gangadevi C. Bedke, M. Jadhav, Pramodini A. Punde, Monali D. Rathod, Swapnil Dongaonkar

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引用次数: 0

摘要

青光眼是世界范围内致盲的第二大原因，由于眼压升高和视网膜神经纤维层的丧失，如果不及早治疗，可导致全视力丧失，因此需要早期发现青光眼。为了早期发现青光眼，我们使用了光学相干断层成像;收集正常青光眼影像87张，青光眼影像112张。在本研究中，我们对OCT图像进行分析，利用图像处理技术提取GCL和ILM层，提取GCL和ILM层后，测量神经纤维层的厚度。

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GCL And ILM Layer Extraction From OCT Images For Glaucoma Detection

Glaucoma is the second leading cause of blindness in worldwide, it can cause due to increase in intra ocular pressure and loss of retinal nerve fiber layers, it can cause total vision loss if it is not treated earlier, so there is need of early detection of glaucoma. For the early detection of glaucoma, we have used Optical Coherence tomography images; we collected 87 normal and 112 glaucomatous images. In this our research study, we analyzed OCT images and we extracted GCL and ILM layers using image processing techniques, after extraction of GCL and ILM layers, we measured thickness of nerve fiber layers.

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2021 International Conference on Computational Intelligence and Computing Applications (ICCICA)

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