Boehler’s Angle Estimations in Calcaneus Bone by Using Artificial Neural Networks

Year 2015, Volume: 36 Issue: 5, 57 - 63, 02.03.2015

İlhan Otağ Serkan Akkoyun Yaşar Taştemur Mehmet Çimen

https://doi.org/10.17776/csj.56855

Abstract

Boehler’s angle has a great importance in diagnosis and treatment of calcaneus bones fractures. In this study, Boehler’s angle was estimated by using artificial neural network method. This angle was obtained from 51 well-preserved calcaneus bones which was previously measured in anatomy laboratory at Cumhuriyet University. The data values for estimation belonging to these 51 different calcaneus bones are maximum anteroposterior length, maximum height, cuboidal facet height, body height and load arm length. By using this five different parameters, ANN estimation on Boehler’s angle was performed. It is clearly seen from the results that the method is capable for the estimation.

Keywords

Boehler's angle, calcaneus bone, morphometry, artificial neural network

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