Machine learning in predicting extracapsular extension (ECE) of prostate cancer with MRI: a protocol for a systematic literature review

Adalgisa Guerra, Eduardo Negrão, Nickolaos Papanikolaou, Helena Donato

Open source

DOI
10.1136/bmjopen-2021-052342
Published
2022-05
Container
BMJ Open
Publisher
BMJ
Open access
unknown

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BibTeX

@article{allodium:10.1136/bmjopen-2021-052342,
  title = {Machine learning in predicting extracapsular extension (ECE) of prostate cancer with MRI: a protocol for a systematic literature review},
  author = {Adalgisa Guerra and Eduardo Negrão and Nickolaos Papanikolaou and Helena Donato},
  year = {2022},
  journal = {BMJ Open},
  doi = {10.1136/bmjopen-2021-052342},
  url = {https://doi.org/10.1136/bmjopen-2021-052342}
}

RIS

TY  - JOUR
TI  - Machine learning in predicting extracapsular extension (ECE) of prostate cancer with MRI: a protocol for a systematic literature review
AU  - Adalgisa Guerra
AU  - Eduardo Negrão
AU  - Nickolaos Papanikolaou
AU  - Helena Donato
PY  - 2022
JO  - BMJ Open
DO  - 10.1136/bmjopen-2021-052342
UR  - https://doi.org/10.1136/bmjopen-2021-052342
ER  - 

APA

Guerra, A., Negrão, E., Papanikolaou, N., & Donato, H. (2022). Machine learning in predicting extracapsular extension (ECE) of prostate cancer with MRI: a protocol for a systematic literature review. BMJ Open. https://doi.org/10.1136/bmjopen-2021-052342

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