Congress:
ECR25
Poster Number:
C-17756
Type:
Poster: EPOS Radiologist (scientific)
Authorblock:
B. Dalkıran, G. Durhan, H. Avci, N. Kertmen, F. Demirkazik; Ankara/TR
Disclosures:
Burak Dalkıran:
Nothing to disclose
Gamze Durhan:
Nothing to disclose
Hanife Avci:
Nothing to disclose
Neyran Kertmen:
Nothing to disclose
Figen Demirkazik:
Nothing to disclose
Keywords:
Artificial Intelligence, Computer applications, Oncology, CT, CT-Quantitative, CAD, Computer Applications-Detection, diagnosis, Cancer
The radiomics model alone did not demonstrate sufficient performance in distinguishing lung metastases. However, the combined model outperformed both the radiomics and clinical-radiological models, highlighting its potential as a promising tool for differentiating lung metastases.