diff --git a/README.md b/README.md
index 37c4544..91f7e07 100644
--- a/README.md
+++ b/README.md
@@ -38,7 +38,7 @@ The `prepare_data_with_valid.py` split the training set into 2 folds for trainin
 
 - Network and Loss: In this experiment, as we use [dice loss](http://tensorlayer.readthedocs.io/en/latest/modules/cost.html#dice-coefficient) to train a network, one network only predict one labels (Label 1,2 or 4). We evaluate the performance using [hard dice](http://tensorlayer.readthedocs.io/en/latest/modules/cost.html#hard-dice-coefficient) and [IOU](http://tensorlayer.readthedocs.io/en/latest/modules/cost.html#iou-coefficient).
 
-- Data augmenation: Includes random left and right flip, rotation, shifting, shearing, zooming and the most important one -- [Elastic trasnformation](http://tensorlayer.readthedocs.io/en/latest/modules/prepro.html#elastic-transform), see ["Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks"](https://arxiv.org/pdf/1705.03820.pdf) for details.
+- Data augmentation: Includes random left and right flip, rotation, shifting, shearing, zooming and the most important one -- [Elastic trasnformation](http://tensorlayer.readthedocs.io/en/latest/modules/prepro.html#elastic-transform), see ["Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks"](https://arxiv.org/pdf/1705.03820.pdf) for details.
 
 <div align="center">
     <img src="https://github.com/zsdonghao/u-net-brain-tumor/blob/master/example/brain_tumor_aug.png" width="80%" height="50%"/>
@@ -64,7 +64,7 @@ If you find this project useful, we would be grateful if you cite the TensorLaye
 author = {Dong, Hao and Supratak, Akara and Mai, Luo and Liu, Fangde and Oehmichen, Axel and Yu, Simiao and Guo, Yike},
 journal = {ACM Multimedia},
 title = {{TensorLayer: A Versatile Library for Efficient Deep Learning Development}},
-url = {http://tensorlayer.org},
+url = {https://tensorlayer.readthedocs.io/en/latest/},
 year = {2017}
 }
 ```