Update README.md

README.md

@@ -6,8 +6,6 @@ Pytorch code for the paper
 ["Medical Transformer: Gated Axial-Attention for
 Medical Image Segmentation"](https://arxiv.org/pdf/2102.10662.pdf), MICCAI 2021
 
-Google Colab (Unofficial): [Link](https://colab.research.google.com/drive/1d9DAXZl6uukX4sqRiDF5_4l6ZB_xOkJj?usp=sharing)
-
 ### About this repo:
 
 This repo hosts the code for the following networks:
@@ -128,7 +126,7 @@ The results including predicted segmentations maps will be placed in the results
 
 ### Acknowledgement:
 
-The dataloader code is inspired from <a href="https://github.com/cosmic-cortex/pytorch-UNet"> pytorch-UNet </a>. The axial attention code is developed from <a href="https://github.com/csrhddlam/axial-deeplab">axial-deeplab</a>. Thanks to [Pavan](https://analyticsindiamag.com/author/pavan-kandruanalyticsindiamag-com/) for the Google Colab guide.
+The dataloader code is inspired from <a href="https://github.com/cosmic-cortex/pytorch-UNet"> pytorch-UNet </a>. The axial attention code is developed from <a href="https://github.com/csrhddlam/axial-deeplab">axial-deeplab</a>. 
 
 # Citation: