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
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
It was showed that current prognostic models incompletely capture the biological heterogeneity underlying CRLM recurrence, and dynamic biomarkers and treatment-response indicators may support future multimodal prognostic frameworks and improve risk stratification following curative-intent treatment.
L. Manganaro, Tommaso Russo, L. Novello et al.· Critical reviews in oncology...· 0 citations
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