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 .
Sarah de Boer, H. Häntze, S. Ziegelmayer et al.· 0 citations
BACKGROUND
Epicardial adipose tissue (EAT) may contribute to atrial fibrillation (AF) pathogenesis and recurrence after catheter ablation, but data using precise volumetric quantification alongside systematic body composition assessment are limited.
OBJECTIVE
To quantify biatrial EAT using photon-counting CT (PCCT) w...
N. Erhard, F. Bahlke, S. Prommersberger et al.· Heart Rhythm· 1 citation
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...
Sarah de Boer, H. Häntze, S. Ziegelmayer et al.· Machine Learning for Biomedi...· 1 citation
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