Congress:
ECR25
Poster Number:
C-14717
Type:
Poster: EPOS Radiologist (scientific)
Authorblock:
A. Olesinski, R. Lederman, J. Sosna, L. Joskowicz; Jerusalem/IL
Disclosures:
Alon Olesinski:
Consultant: HighRAD
Richard Lederman:
Consultant: HighRAD
Jacob Sosna:
Consultant: HighRAD
Leo Joskowicz:
Consultant: HighRAD and Ezra
Keywords:
Artificial Intelligence, Lymph nodes, Oncology, CT, CAD, Computer Applications-Detection, diagnosis, Cancer
Our method requires x4-10 less annotated data to achieve a performance similar to supervised models trained on the same dataset. Label-efficient automatic detection and measurement of mediastinum lymph nodes in chest CECT yields acurrate results and may help in the evaluation of patients with enlarged mediastinal LNs.