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jzsherlock4869 authored Aug 11, 2022
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Expand Up @@ -6,9 +6,13 @@ Reference for U-net: [U-Net: Convolutional Networks for Biomedical Image Segment

Reference for DRIVE dataset and introduction: [DRIVE: Digital Retinal Images for Vessel Extraction](https://drive.grand-challenge.org/)

## Network Achitecture

![unet_arch](./repo_pics/unet_arch.png)

## Dataset Overview

![channels_drive](https://github.com/jzsherlock4869/PyTorch_Unet_for_RetinaVessel_Segmentation/blob/master/repo_pics/channels_drive.png "RGB channels for a sample image in DRIVE")
![channels_drive](./repo_pics/channels_drive.png)

![mask_label_drive](https://github.com/jzsherlock4869/PyTorch_Unet_for_RetinaVessel_Segmentation/blob/master/repo_pics/mask_label_drive.png "a. Original Image; b. Mask; c. Mannual Label")

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