10.1007/s00330-017-5154-8 - A predictive model for distinguishing...

This document has been corrected

A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from MR images

10.1007/s00330-017-5154-8

Published Online: 2017-11-24

Journal: European Radiology•Publisher: Springer Science and Business Media LLC

Authors: Angela Ho•Dennis Mackin•Jennifer Logan•Jing Li•Jinzhong Yang•Laurence E. Court•Lifei Zhang•Nandita Guha-Thakurta•Paul D. Brown•Sherise D. Ferguson•Susan L. McGovern•Wen Jiang•Xenia Fave•Xin Wang•Zijian Zhang

This document has been corrected

A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from MR images

10.1007/s00330-017-5154-8

Published Online: 2017-11-24

Journal: European Radiology

NOW

2018-03-14•Correction

Correction to: A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from MR images

10.1007/s00330-017-5276-z

* information provided by CrossRef

2018-03-14•Correction

10.1007/s00330-017-5276-z

* information provided by CrossRef

2017-11-24•Published

2018-03-14•Correction

Correction to: A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from MR images

10.1007/s00330-017-5276-z

* information provided by CrossRef

This document has been corrected

A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from MR images

10.1007/s00330-017-5154-8

Published Online: 2017-11-24

Journal: European Radiology•Publisher: Springer Science and Business Media LLC