Description: For a particularly long time, automatic diagnosis of diabetic retinopathy digital
fundus images has been an active research topic in the medical image processing
community. The research interest is justified by the excellent potential for new
products in the medical industry and significant reductions in health care costs.
However, the maturity of proposed algorithms cannot be judged due to the lack
of commonly accepted and representative image with a verified ground
truth and strict uation protocol. In this study, an uation methodology is proposed
and an image with ground truth is described-For a particularly long time, automatic diagnosis of diabetic retinopathy digital
fundus images has been an active research topic in the medical image processing
community. The research interest is justified by the excellent potential for new
products in the medical industry and significant reductions in health care costs.
However, the maturity of proposed algorithms cannot be judged due to the lack
of commonly accepted and representative image with a verified ground
truth and strict uation protocol. In this study, an uation methodology is proposed
and an image with ground truth is described Platform: |
Size: 2048 |
Author:mohammad |
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Description: There is a BCB program for digital image to establish ground truth image which test the original image. Platform: |
Size: 2048 |
Author:majoryang |
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Description: 基于texton boost的图像分割，有监督，需要自己添加ground truth到训练文件夹进行训练，测试集和训练集随机分配(S upervised image segmentation based on texton boost. It needs to add ground truth to the training folder for training, and the test set and training set are allocated randomly.) Platform: |
Size: 9913344 |
Author:Giovanna |
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Search - ground truth image