Multiclass semantic segmentation and quantification of traumatic brain injury lesions on head CT using deep learning: an algorithm development and multicentre validation study

M. Monteiro, V. F. J. Newcombe, F. Mathieu, Kamnitsas K., E. Ferrante, T. Das, K. Adatia, D. Rueckert, D. K. Menon, B. Glocker
The Lancet Digital Health, Volume 2, Number 6, page 314--322 - 2020
Link to doi : sinc_MNMKFDWRMG20.doi [0Ko]  

BibTex references

@Article{MNMKFDWRMG20,
  author       = "Monteiro, M. and Newcombe, V. F. J. and Mathieu, F. and K., 
Kamnitsas and Ferrante, E. and Das, T. and Adatia, K. and Rueckert, D. and Menon, D. K. and Glocker, B.", title = "Multiclass semantic segmentation and quantification of traumatic
brain injury lesions on head CT using deep learning: an
algorithm development and multicentre validation study ", journal = "The Lancet Digital Health", number = "6", volume = "2", pages = "314--322", year = "2020", url = "http://sinc.unl.edu.ar/sinc-publications/2020/MNMKFDWRMG20" }
Download BibTex: MNMKFDWRMG20.bib

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