Recurrent Convolutional Neural Networks for 3D Mandible Segmentation in Computed Tomography.

Bingjiang QiuJiapan GuoJoep KraeimaHaye Hendrik GlasWeichuan ZhangRonald J H BorraMax Johannes Hendrikus WitjesPeter M A van Ooijen

Published in: Journal of personalized medicine (2021)

The proposed RCNNSeg method generated more accurate automated segmentations than those of the other classic EDCNN segmentation techniques in terms of quantitative and qualitative evaluation. The proposed RCNNSeg has potential for automatic mandible segmentation by learning spatially structured information.

Keyphrases

convolutional neural network
deep learning
computed tomography
machine learning
high resolution
systematic review
positron emission tomography
high throughput
health information
climate change
risk assessment
human health
image quality