Diabetic Macular Edema (DME) is a complex and irreversible ocular disorder which leads to permanent vision loss. DME mostly occurs due to the formation of cyst spaces and storage of serous fluid in retina. We present a fully automated method for the detection two forms of diabetic macular edema using Optical Coherence Tomography (OCT) images. Segmentation of the retinal layers in the OCT image is important in the evaluation of the ocular diseases. Gradient information of the retinal boundaries is used to detect the layers of the retina. Retinal thickness between the vitreous-NFL (Nerve Fiber Layer) and the RPE (Retinal Pigment Epithelium) layer is measured and compared with the pre-defined values of normal retinal thickness to detect the edema in the eye. To detect cystoid macular edema (CME), the cystoid regions which are non-reflective spaces between the vitreoretinal layer and the inner -outer segment (IS-OS) layer are extracted by processing the pixel values inside the restricted search region between these layers. For detecting the serous retinal detachment (SRD), we extract the subretinal fluid region from the retinal image by changing pixel values below the IS-OS layer with zeroes and retracing the light-to-dark boundary. We also suggest criteria to validate the above result and reject any unwanted region, if detected.

糖尿病性黄斑水肿（DME）是一种复杂且不可逆的眼部疾病，会导致永久性视力丧失。DME主要是由于囊肿空间的形成和浆液在视网膜中的储存所致。我们提出了一种使用光学相干断层扫描（OCT）图像检测两种形式的糖尿病性黄斑水肿的全自动方法。OCT图像中视网膜层的分割对于评估眼部疾病很重要。视网膜边界的梯度信息用于检测视网膜层。测量玻璃体NFL（神经纤维层）和RPE（视网膜色素上皮）层之间的视网膜厚度，并将其与正常视网膜厚度的预定值进行比较，以检测眼睛的水肿。要检测黄斑囊样水肿（CME），通过处理在这些层之间的受限搜索区域内的像素值，提取作为玻璃体视网膜层和内-外段（IS-OS）层之间的非反射空间的囊状区域。为了检测浆液性视网膜脱离（SRD），我们通过将IS-OS层以下的像素值更改为零并从明暗边界追溯来从视网膜图像中提取视网膜下液区域。我们还提出了验证上述结果并拒绝任何不需要的区域（如果检测到）的标准。我们通过将IS-OS层以下的像素值更改为零并重新绘制明暗边界来从视网膜图像中提取视网膜下液区域。我们还提出了验证上述结果并拒绝任何不需要的区域（如果检测到）的标准。我们通过将IS-OS层下方的像素值更改为零并重新绘制明暗边界来从视网膜图像中提取视网膜下液区域。我们还提出了验证上述结果并拒绝任何不需要的区域（如果检测到）的标准。