deepPGSegNet: MRI-based pituitary gland segmentation using deep learning

Uk-Su Choi, Yul-Wan Sung, Seiji Ogawa

Open source

DOI: 10.3389/fendo.2024.1338743
Published: 2024-02-02
Container: Frontiers in Endocrinology
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fendo.2024.1338743,
  title = {deepPGSegNet: MRI-based pituitary gland segmentation using deep learning},
  author = {Uk-Su Choi and Yul-Wan Sung and Seiji Ogawa},
  year = {2024},
  journal = {Frontiers in Endocrinology},
  doi = {10.3389/fendo.2024.1338743},
  url = {https://doi.org/10.3389/fendo.2024.1338743}
}

RIS

TY  - JOUR
TI  - deepPGSegNet: MRI-based pituitary gland segmentation using deep learning
AU  - Uk-Su Choi
AU  - Yul-Wan Sung
AU  - Seiji Ogawa
PY  - 2024
JO  - Frontiers in Endocrinology
DO  - 10.3389/fendo.2024.1338743
UR  - https://doi.org/10.3389/fendo.2024.1338743
ER  -

APA

Choi, U., Sung, Y., & Ogawa, S. (2024). deepPGSegNet: MRI-based pituitary gland segmentation using deep learning. Frontiers in Endocrinology. https://doi.org/10.3389/fendo.2024.1338743

Source records

crossref · retrieved 2026-09-25T15:00:15.299Z