Radiomic Medical Data Transformation for Radiologists Support

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Marcin Luckner, Pawel Gelar, Agata Kaczmarek, Adam Kaniasty, Bartosz Kochanski, Tymoteusz Kwiecinski, Wiktoria Mieleszczenko-Kowszewicz, Przemyslaw Biecek

Published: 2025, Last Modified: 01 Apr 2026ISD 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: We present a process of transforming medical data into a system that supports radiologists' interpretation and understanding of Computed Tomography (CT) images. The system is based on a pipeline that includes image conversion, organ segmentation, feature extraction, and report rendering. The final report presents organ visualisations and information about organ measurements, with marked outliers, to the radiologist. The system was created using data from the database containing over 40,000 CT scans and a pre-trained Swin UNETR architecture. The system obtained 89.09\% DICE for five segmented organs. The created solution can go through the process in less than five and a half minutes, and its usability was confirmed by radiologists.