Detecting mechanical loosening of total hip replacement implant from plain radiograph using deep convolutional neural network

no code implementations • 2 Dec 2019 • Alireza Borjali, Antonia F. Chen, Orhun K. Muratoglu, Mohammad A. Morid, Kartik M. Varadarajan

To increase the confidence in the machine outcome, we also implemented saliency maps to visualize where the CNN looked at to make a diagnosis.

Decision Making Specificity

Detecting total hip replacement prosthesis design on preoperative radiographs using deep convolutional neural network

no code implementations • 27 Nov 2019 • Alireza Borjali, Antonia F. Chen, Orhun K. Muratoglu, Mohammad A. Morid, Kartik M. Varadarajan

Such CNN can be used to automatically identify the design of a failed THR implant preoperatively in just a few seconds, saving time and improving the identification accuracy.