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Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning
Finally, in comparison to models that are trained from scratch or by initializing ImageNet weights, the obtained results suggest that the two-step approach extracts features improving the identification of kidney stones in endoscopic images.
Deep morphological recognition of kidney stones using intra-operative endoscopic digital videos
To this end, a computer-aided video classifier was developed to predict in-situ the morphology of stone using an intra-operative digital endoscopic video acquired in a clinical setting.
Towards Automatic Recognition of Pure & Mixed Stones using Intraoperative Endoscopic Digital Images
A deep convolutional neural network (CNN) was trained to predict the composition of both pure and mixed stones.
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