Congress:
ECR25
Poster Number:
C-12773
Type:
Poster: EPOS Radiologist (scientific)
Authorblock:
K. Bartnik1, T. Bartczak2, M. Krzyziński2, K. Korzeniowski1, K. J. Lamparski1, T. Wróblewski2, K. Mech2, M. M. Januszewicz1, P. Biecek2; 1Warszawa/PL, 2Warsaw/PL
Disclosures:
Krzysztof Bartnik:
Grant Recipient: Integra WUM-PW (No. 1W12/ INTEGRA.1.6/N/23)
Tomasz Bartczak:
Nothing to disclose
Mateusz Krzyziński:
Nothing to disclose
Krzysztof Korzeniowski:
Nothing to disclose
Krzysztof Jacek Lamparski:
Nothing to disclose
Tadeusz Wróblewski:
Nothing to disclose
Katarzyna Mech:
Nothing to disclose
Magdalena Maria Januszewicz:
Nothing to disclose
Przemysław Biecek:
Nothing to disclose
Keywords:
Artificial Intelligence, Liver, Oncology, CT, CT-Quantitative, Chemoembolisation, Outcomes analysis, Cancer, Cirrhosis
Our dataset significantly expands the available annotated data, complementing a recently published TACE dataset. Notably, it includes patients with multiple HCC lesions, rather than being limited to single tumors. This dataset includes comprehensive clinical data, pre-TACE CT imaging, segmentation masks and critical outcome measures. It is a valuable resource for enhancing AI-based research in radiology, aimed at improving outcomes for HCC patients.