An Automated Deep Learning Model for the Cerebellum Segmentation from Fetal Brain Images.

Sreelakshmy R, Titus A, Sasirekha N, Logashanmugam E, Begam RB, Ramkumar G, Raju R

DOI: 10.1155/2022/8342767
Published: 2022
Container: BioMed research international
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.1155/2022/8342767,
  title = {An Automated Deep Learning Model for the Cerebellum Segmentation from Fetal Brain Images.},
  author = {Sreelakshmy R and Titus A and Sasirekha N and Logashanmugam E and Begam RB and Ramkumar G and Raju R},
  year = {2022},
  journal = {BioMed research international},
  doi = {10.1155/2022/8342767},
  url = {https://doi.org/10.1155/2022/8342767}
}

RIS

TY  - JOUR
TI  - An Automated Deep Learning Model for the Cerebellum Segmentation from Fetal Brain Images.
AU  - Sreelakshmy R
AU  - Titus A
AU  - Sasirekha N
AU  - Logashanmugam E
AU  - Begam RB
AU  - Ramkumar G
AU  - Raju R
PY  - 2022
JO  - BioMed research international
DO  - 10.1155/2022/8342767
UR  - https://doi.org/10.1155/2022/8342767
ER  -

APA

R, S., A, T., N, S., E, L., RB, B., G, R., & R, R. (2022). An Automated Deep Learning Model for the Cerebellum Segmentation from Fetal Brain Images.. BioMed research international. https://doi.org/10.1155/2022/8342767

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pubmed · retrieved 2026-09-24T23:53:16.524Z