A pilot study investigating the feasibility of using a fully automatic software to assess the RENAL and PADUA score

Image-based morphometric scoring systems such as the RENAL and PADUA scores are useful to evaluate the complexity of partial nephrectomy for renal cell carcinoma (RCC). The main aim of this study was to develop a new imaging software to enable an automatic detection and a 3D visualization of RCC fro...

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Veröffentlicht in:	Progrès en urologie (Paris) 2022-07, Vol.32 (8-9), p.558-566
Hauptverfasser:	Carlier, M., Lareyre, F., Lê, C.D., Adam, C., Carrier, M., Chikande, J., Guidi, L., Augène, E., Durand, M., Raffort, J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Automatic software Carcinoma rénal Deep learning Intelligence artificielle Life Sciences Logiciel automatique Nephrometry score PADUA score Renal cell carcinoma RENAL score Score néphrométrique
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