Diagnostic Performance of Computed Tomography-Based Machine Learning Models in the Classification of Adnexal Masses - A Systematic Review.

Kotian S, - P, R V, Kadavigere R, Pendem S, Nayak K

DOI: 10.12688/f1000research.178239.1
Published: 2026
Container: F1000Research
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.12688/f1000research.178239.1,
  title = {Diagnostic Performance of Computed Tomography-Based Machine Learning Models in the Classification of Adnexal Masses - A Systematic Review.},
  author = {Kotian S and - P and R V and Kadavigere R and Pendem S and Nayak K},
  year = {2026},
  journal = {F1000Research},
  doi = {10.12688/f1000research.178239.1},
  url = {https://doi.org/10.12688/f1000research.178239.1}
}

RIS

TY  - JOUR
TI  - Diagnostic Performance of Computed Tomography-Based Machine Learning Models in the Classification of Adnexal Masses - A Systematic Review.
AU  - Kotian S
AU  - - P
AU  - R V
AU  - Kadavigere R
AU  - Pendem S
AU  - Nayak K
PY  - 2026
JO  - F1000Research
DO  - 10.12688/f1000research.178239.1
UR  - https://doi.org/10.12688/f1000research.178239.1
ER  -

APA

S, K., P, -., V, R., R, K., S, P., & K, N. (2026). Diagnostic Performance of Computed Tomography-Based Machine Learning Models in the Classification of Adnexal Masses - A Systematic Review.. F1000Research. https://doi.org/10.12688/f1000research.178239.1

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pubmed · retrieved 2026-09-25T03:25:20.405Z