Update README.md

Luoxd1996 · web-flow · commit 357b3db0c0dd · 2021-08-29T16:43:26.000+08:00
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 ## MIDeepSeg: Minimally Interactive Segmentation of Unseen Objects from Medical Images Using Deep Learning [[MedIA](https://www.sciencedirect.com/science/article/pii/S1361841521001481) or [Arxiv](https://arxiv.org/pdf/2104.12166.pdf)] and [[Demo]](https://www.youtube.com/watch?v=eq-tqlJnckE)
 This repository proivdes a 2D medical image interactive segmentation method for segmentation and annotation.
 ![image](https://github.com/HiLab-git/MIDeepSeg/blob/master/demo_video/pancreas.gif)
-![2D example](./demo_dataset/egd_vis.png)
-
-A comparison of different distance transform, following [GeodisTK](https://github.com/taigw/GeodisTK).
 
 * This project was originally developed for our previous work [MIDeepSeg](https://arxiv.org/pdf/2104.12166.pdf), if you find it's useful for your research, please consider to cite the followings:
 
@@ -15,7 +12,9 @@ A comparison of different distance transform, following [GeodisTK](https://githu
                   pages={102102},
                   year={2021},
                   publisher={Elsevier}}
+![2D example](./demo_dataset/egd_vis.png)
 
+A comparison of different distance transform, following [GeodisTK](https://github.com/taigw/GeodisTK).
 ## Requirements
 Before you can use this package for image segmentation. You should:
 * PyTorch version >=1.0.1
