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Deep morphological recognition of kidney stones using intra-operative endoscopic digital videos. (arXiv:2205.06093v1 [cs.CV])
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 …
More from arxiv.org / cs.CV updates on arXiv.org
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