Mathematical Assessment of Machine Learning Models Used for Brain Tumor Diagnosis

Dilber Uzun Ozsahin, Efe Precious Onakpojeruo, Berna Uzun, Mubarak Taiwo Mustapha, Ilker Ozsahin

Open source

DOI
10.3390/diagnostics13040618
Published
2023-02-08
Container
Diagnostics
Publisher
MDPI AG
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.3390/diagnostics13040618,
  title = {Mathematical Assessment of Machine Learning Models Used for Brain Tumor Diagnosis},
  author = {Dilber Uzun Ozsahin and Efe Precious Onakpojeruo and Berna Uzun and Mubarak Taiwo Mustapha and Ilker Ozsahin},
  year = {2023},
  journal = {Diagnostics},
  doi = {10.3390/diagnostics13040618},
  url = {https://doi.org/10.3390/diagnostics13040618}
}

RIS

TY  - JOUR
TI  - Mathematical Assessment of Machine Learning Models Used for Brain Tumor Diagnosis
AU  - Dilber Uzun Ozsahin
AU  - Efe Precious Onakpojeruo
AU  - Berna Uzun
AU  - Mubarak Taiwo Mustapha
AU  - Ilker Ozsahin
PY  - 2023
JO  - Diagnostics
DO  - 10.3390/diagnostics13040618
UR  - https://doi.org/10.3390/diagnostics13040618
ER  - 

APA

Ozsahin, D. U., Onakpojeruo, E. P., Uzun, B., Mustapha, M. T., & Ozsahin, I. (2023). Mathematical Assessment of Machine Learning Models Used for Brain Tumor Diagnosis. Diagnostics. https://doi.org/10.3390/diagnostics13040618

Source records