update readme

README.md

@@ -3,8 +3,10 @@ license: apache-2.0
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 ## Sine-Wave-Transformations-for-Deep-Learning-Based-Tumor-Segmentation-in-CT-PET-Imaging
-This repository contains the implementation of a deep learning model for automated tumor lesion segmentation in CT/PET scans, designed for the autoPET III Challenge. It introduces a novel SineNormalBlock, leveraging sine wave transformations to enhance PET data processing for improved segmentation accuracy.
+This repository contains the deep learning model for automated tumor lesion segmentation in CT/PET scans, designed for the autoPET III Challenge. It introduces a novel SineNormalBlock, leveraging sine wave transformations to enhance PET data processing for improved segmentation accuracy.
 
+The code is publicly available at: [Sine-Wave Normalization for Deep Learning Based Tumor Segmentation in CT-PET](https://github.com/BBQtime/Sine-Wave-Normalization-for-Deep-Learning-Based-Tumor-Segmentation-in-CT-PET)
+ 
 Below is the shared nnUNet trained model folder structure. 
 ```
 ├── nnUNet_results