_:n7a438ef5db2e4d499659da1ab5db1b61xb7
<http://schema.org/description>
"Retinal Vessel Segmentation is important for diagnosis of various diseases.\nThe research on retinal vessel segmentation focuses mainly on improvement of\nthe segmentation model which is usually based on U-Net architecture. In our\nstudy we use the U-Net architecture and we rely on heavy data augmentation in\norder to achieve better performance. The success of the data augmentation\nrelies on successfully addressing the problem of input images. By analyzing\ninput images and performing the augmentation accordingly we show that the\nperformance of the U-Net model can be increased dramatically. Results are\nreported using the most widely used retina dataset, DRIVE."
<https://deepai.org/profile/m-yigit-ozgenc>