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A transfer-learning approach for lesion detection in endoscopic images from the urinary tract
Ureteroscopy and cystoscopy are the gold standard methods to identify an...
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Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy
Purpose: Ureteroscopy is an efficient endoscopic minimally invasive tech...
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A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture
Ureteroscopy is becoming the first surgical treatment option for the maj...
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Comparison of different CNNs for breast tumor classification from ultrasound images
Breast cancer is one of the deadliest cancer worldwide. Timely detection...
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Jorge F. Lazo
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