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This work screened 1,915 CT scans from three TCGA-RCC databases and, following a meta-data-based exclusion step, used an automated segmentation model to generate initial kidney and lesion masks, which are openly available at https://zenodo.org/records/20719257 .
Contrast-enhanced computed tomography (CT) is central to the diagnosis, staging, and follow-up of patients with renal cell carcinoma (RCC). As artificial intelligence research into computer-aided solutions continues to grow, the need for curated and annotated datasets becomes increasingly important. Imaging-based artif...
Abstract Aims Intravascular optical coherence tomography (OCT) enables high-resolution imaging of the coronary vessel wall, but manual image interpretation is time-consuming and existing automated approaches often require high computational resources and exhibit slow inference times, limiting clinical use. We developed...
UBIX can reduce their contribution to the bag-level predictions, improving reliability without retraining on new data, and potentially increases the applicability of artificial intelligence models to data from other scanners than the ones for which they were developed.
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