Fully automated determination of the cervical vertebrae maturation stages using deep learning with directional filters.

Salih Furkan AticiRashid AnsariVeerasathpurush AllareddyOmar SuhaymAhmet Enis CetinMohammed H Elnagar

Published in: PloS one (2022)

The proposed model of a custom-designed CNN together with the tunable Directional Filters (CNNDF) is observed to provide higher accuracy than the commonly used pre-trained network models that we investigated in the fully automated determination of the CVM stages.

Keyphrases

deep learning
convolutional neural network
machine learning
solid phase extraction
artificial intelligence
molecularly imprinted
high throughput
resistance training
atomic force microscopy
body composition
high speed