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Background
X‐ray is a necessary tool for post‐total hip arthroplasty (THA) check‐ups; however, parameter measurements are time‐consuming. We proposed a deep learning tool, BKNet that automates localization of landmarks with parameter measurements.
Methods
About 3072 radiographs from 3021 patients who underwent THA at our institute between 2013 and 2017 were used. We employed BKNet to perform landmark...
Background
We present an artificial intelligence framework for vascularity classification of the gallbladder (GB) wall from intraoperative images of laparoscopic cholecystectomy (LC).
Methods
A two‐stage Multiple Instance Convolutional Neural Network is proposed. First, a convolutional autoencoder is trained to extract feature representations from 4585 patches of GB images. The second model includes...
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