Automatic Detection and Segmentation of Ovarian Cancer Using a Multitask Model in Pelvic CT Images.

Wang X, Li H, Zheng P

DOI: 10.1155/2022/6009107
Published: 2022
Container: Oxidative medicine and cellular longevity
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2022/6009107,
  title = {Automatic Detection and Segmentation of Ovarian Cancer Using a Multitask Model in Pelvic CT Images.},
  author = {Wang X and Li H and Zheng P},
  year = {2022},
  journal = {Oxidative medicine and cellular longevity},
  doi = {10.1155/2022/6009107},
  url = {https://doi.org/10.1155/2022/6009107}
}

RIS

TY  - JOUR
TI  - Automatic Detection and Segmentation of Ovarian Cancer Using a Multitask Model in Pelvic CT Images.
AU  - Wang X
AU  - Li H
AU  - Zheng P
PY  - 2022
JO  - Oxidative medicine and cellular longevity
DO  - 10.1155/2022/6009107
UR  - https://doi.org/10.1155/2022/6009107
ER  -

APA

X, W., H, L., & P, Z. (2022). Automatic Detection and Segmentation of Ovarian Cancer Using a Multitask Model in Pelvic CT Images.. Oxidative medicine and cellular longevity. https://doi.org/10.1155/2022/6009107

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pubmed · retrieved 2026-09-26T03:47:08.709Z