Scientists at the Mepco Schlenk College of Engineering have developed an algorithm to determine a person’s gender from dental x-rays with 94% accuracy. Research published International Journal of Biomedical Engineering and Technology.
Dental records have long been used in forensics to identify deceased persons. However, the effectiveness of the method is limited when it is necessary not to compare teeth with dental records, but only to determine the biological sex of a person with teeth.
In the new study, the scientists used the GBRT image segmentation method, and then the image was “fed” into the Resnet50 neural network that had been pre-trained on 3000 tooth images. Testing of the system showed that it was able to determine biological sex from x-rays of teeth with 94% accuracy.
Now the scientists plan to more rigorously evaluate the algorithm on new data to understand its robustness in real-world conditions. The team will also use their method to determine a person’s age from dental X-rays.
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