Machine-learning model for differentiating round pneumonia and primary lung cancer using CT-based radiomic analysis
Machine-learning models using CT-based radiomics features can effectively differentiate round pneumonia from primary lung cancer. These models offer a promising noninvasive tool to aid in radiological diagnosis and reduce diagnostic uncertainty.
Authors
- Mustafa Yı́ldı́rı́m (ORCID: https://orcid.org/0000-0001-6874-9294)
- Hamide Sevinç Genç
Institutions
- Fırat University (TR)
- Elazığ Eğitim ve Araştırma Hastanesi (TR)
Publication Details
- Journal
- Medicine
- Published
- 2025-09-12
- DOI
- https://doi.org/10.1097/md.0000000000044408
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00