Fully automatic liver attenuation estimation combing CNN segmentation and morphological operations.

Huo Y, Terry JG, Wang J, Nair S, Lasko TA, Freedman BI, Carr JJ, Landman BA

DOI: 10.1002/mp.13675
Published: 2019 Aug
Container: Medical physics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1002/mp.13675,
  title = {Fully automatic liver attenuation estimation combing CNN segmentation and morphological operations.},
  author = {Huo Y and Terry JG and Wang J and Nair S and Lasko TA and Freedman BI and Carr JJ and Landman BA},
  year = {2019},
  journal = {Medical physics},
  doi = {10.1002/mp.13675},
  url = {https://doi.org/10.1002/mp.13675}
}

RIS

TY  - JOUR
TI  - Fully automatic liver attenuation estimation combing CNN segmentation and morphological operations.
AU  - Huo Y
AU  - Terry JG
AU  - Wang J
AU  - Nair S
AU  - Lasko TA
AU  - Freedman BI
AU  - Carr JJ
AU  - Landman BA
PY  - 2019
JO  - Medical physics
DO  - 10.1002/mp.13675
UR  - https://doi.org/10.1002/mp.13675
ER  -

APA

Y, H., JG, T., J, W., S, N., TA, L., BI, F., JJ, C., & BA, L. (2019). Fully automatic liver attenuation estimation combing CNN segmentation and morphological operations.. Medical physics. https://doi.org/10.1002/mp.13675

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pubmed · retrieved 2026-11-10T15:48:24.308Z