Prediction of stress shield for the geometric parameters of a hip implant using artificial neural network

Author:

Resmi S. L.,Hashim V.,Mohammed Jesna,Dileep P. N.

Publisher

AIP Publishing

Reference11 articles.

1. Braileanu, Patricia Isabela, Ionel Simion, Benyebka Bou-Said, and Nicoleta Crisan. “Custom Hip Implant Design Optimisation.” Proceedings of the 2018 19th International Conference on Research and Education in Mechatronics, REM 2018, no. June: (2018) pp.58–63.

2. Caramihale, Traian, Dan Popescu, and Loretta Ichim. “Detection of Regions of Interest in Retinal Images Using Artificial Neural Networks and K-Means Clustering,” ( ) pp. 11–16.

3. Machine learning techniques for the optimization of joint replacements: Application to a short-stem hip implant

4. Elalfi, Atta, Mohamed Eisa, and Hosnia Ahmed.. “Artificial Neural Networks in Medical Images for Diagnosis Heart Valve Diseases” 10 (5): (2013) pp.83–90.

5. Patient specific parametric geometric modelling and finite element analysis of cementless hip prosthesis

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