Web: http://arxiv.org/abs/2205.06093

May 13, 2022, 1:10 a.m. | Vincent Estrade, Michel Daudon, Emmanuel Richard, Jean-Christophe Bernhard, Franck Bladou, Gregoire Robert, Laurent Facq, Baudouin Denis de Senneville

cs.CV updates on arXiv.org arxiv.org

The collection and the analysis of kidney stone morphological criteria are
essential for an aetiological diagnosis of stone disease. However, in-situ
LASER-based fragmentation of urinary stones, which is now the most established
chirurgical intervention, may destroy the morphology of the targeted stone. In
the current study, we assess the performance and added value of processing
complete digital endoscopic video sequences for the automatic recognition of
stone morphological features during a standard-of-care intra-operative session.
To this end, a computer-aided video classifier …

arxiv cv deep digital videos

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