Erdoğan Bülbül

Diagnostic Performance of Machine Learning Models Based on ADC Maps in Parotid Gland Tumors

Objective: This study aims to evaluate the diagnostic performance of radiomics features extracted from ADC maps for differentiating benign from malignant parotid tumors using machine learning models, demonstrating their potential as supplementary diagnostic tools. Materials and M...