Semi-automatic segmentation and surface reconstruction of computed tomography images by using rotoscoping and warping techniques.

Published in: Folia morphologica (2019)

The workflows developed in this study are expected to enable researchers to create segmented images and optimised surface models from any set of serially sectioned images quickly and conveniently. Moreover, these optimised surface models can easily be modified for further application or educational use.

Keyphrases

deep learning
convolutional neural network
computed tomography
optical coherence tomography
machine learning
positron emission tomography
magnetic resonance
image quality