published in PLOS ONE

updated README to have updated info regarding published article, both URL to paper and citation policy

README.md

@@ -3,7 +3,7 @@
 [![license](https://img.shields.io/github/license/DAVFoundation/captain-n3m0.svg?style=flat-square)](https://github.com/DAVFoundation/captain-n3m0/blob/master/LICENSE)
 [![Build Actions Status](https://github.com/VemundFredriksen/LungTumorMask/workflows/Build/badge.svg)](https://github.com/VemundFredriksen/LungTumorMask/actions)
 
-This is the official repository for the paper [_"Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation"_](https://arxiv.org/abs/2112.11541), **accepted for publication** in PLOS ONE.
+This is the official repository for the paper [_"Teacher-student approach for lung tumor segmentation from mixed-supervised datasets"_](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0266147), published in PLOS ONE.
 
 A pretrained model is made available in a command line tool and can be used as you please. However, the current model is not intended for clinical use. The model is the result of a proof-of-concept study. An improved model will be made available in the future, when more training data is made available.
 
@@ -31,11 +31,16 @@ lungtumormask patient_01.nii.gz mask_01.nii.gz
 ## Acknowledgements
 If you found this repository useful in your study, please, cite the following paper:
 ```
-@misc{fredriksen2021teacherstudent,
-title={Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation}, 
-author={Vemund Fredriksen and Svein Ole M. Svele and André Pedersen and Thomas Langø and Gabriel Kiss and Frank Lindseth},
-year={2021},
-eprint={2112.11541},
-archivePrefix={arXiv},
-primaryClass={eess.IV}}
+@article{fredriksen2021teacherstudent,
+title = {Teacher-student approach for lung tumor segmentation from mixed-supervised datasets},
+author = {Fredriksen, Vemund AND Sevle, Svein Ole M. AND Pedersen, André AND Langø, Thomas AND Kiss, Gabriel AND Lindseth, Frank},
+journal = {PLOS ONE},
+publisher = {Public Library of Science},
+year = {2022},
+month = {04},
+doi = {10.1371/journal.pone.0266147},
+volume = {17},
+url = {https://doi.org/10.1371/journal.pone.0266147},
+pages = {1-14},
+number = {4}}
 ```