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Ophthalmological image processing apparatus, Oct device, ophthalmic image processing program and mathematical model construction method

机译:眼科图像处理设备,OCT器件,眼科图像处理程序和数学模型施工方法

摘要

The control section of the ophthalmic image processing apparatus acquires an ophthalmological image or an added average image taken by an ophthalmological image photographing apparatus as a base image.The control part acquires the target image of higher quality than the base image by inputting the base image to the mathematical model trained by the machine learning algorithm.The mathematical model is trained by input training data and output training data.In the training data for the input, the data based on the l-eye training ophthalmological image is used among the plurality of training ophthalmic images photographed the same position of the tissue.For the output training data, the average average image data obtained by averaging the averaged average of H (H > L) ophthalmology images is used.High quality ophthalmological images are obtained appropriately.Diagram
机译:眼科图像处理设备的控制部分获取由眼科图像拍摄设备作为基础图像的眼科图像或添加的平均图像。通过将基本图像输入到基础图像,控制部分获取比基本图像更高的质量的目标图像由机器学习算法训练的数学模型。通过输入训练数据和输出训练数据训练数学模型。在输入的训练数据中,多个训练中使用基于L-Eyp训练眼科图像的数据眼科图像拍摄的组织的相同位置。对于输出训练数据,使用通过平均H(H> L)眼科图像的平均平均值获得的平均平均图像数据。适当地获得高质量的眼科图像。图表

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