A hybrid segmentation and classification CAD framework for automated myocardial infarction prediction from MRI images.

Al-Antari MA, Al-Tam RM, Al-Hejri AM, Al-Huda Z, Lee S, Yıldırım Ö, Gu YH

Open source

DOI
10.1038/s41598-025-98893-1
Published
2025 Apr 23
Container
Scientific reports
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 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:10.1038/s41598-025-98893-1,
  title = {A hybrid segmentation and classification CAD framework for automated myocardial infarction prediction from MRI images.},
  author = {Al-Antari MA and Al-Tam RM and Al-Hejri AM and Al-Huda Z and Lee S and Yıldırım Ö and Gu YH},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-98893-1},
  url = {https://doi.org/10.1038/s41598-025-98893-1}
}

RIS

TY  - JOUR
TI  - A hybrid segmentation and classification CAD framework for automated myocardial infarction prediction from MRI images.
AU  - Al-Antari MA
AU  - Al-Tam RM
AU  - Al-Hejri AM
AU  - Al-Huda Z
AU  - Lee S
AU  - Yıldırım Ö
AU  - Gu YH
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-98893-1
UR  - https://doi.org/10.1038/s41598-025-98893-1
ER  - 

APA

MA, A., RM, A., AM, A., Z, A., S, L., Ö, Y., & YH, G. (2025). A hybrid segmentation and classification CAD framework for automated myocardial infarction prediction from MRI images.. Scientific reports. https://doi.org/10.1038/s41598-025-98893-1

Source records