Automated artificial intelligence-based analysis of skeletal muscle volume predicts overall survival after cystectomy for urinary bladder cancer

Abstract Background Radical cystectomy for urinary bladder cancer is a procedure associated with a high risk of complications, and poor overall survival (OS) due to both patient and tumour factors. Sarcopenia is one such patient factor. We have developed a fully automated artificial intelligence (AI...

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Auteurs principaux: Thomas Ying, Pablo Borrelli, Lars Edenbrandt, Olof Enqvist, Reza Kaboteh, Elin Trägårdh, Johannes Ulén, Henrik Kjölhede
Format: article
Langue:EN
Publié: SpringerOpen 2021
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Accès en ligne:https://doaj.org/article/c37e02c68eaa4cd190b164d8fc8d67c0
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