Search Results for author:
Found 2 papers, 0 papers with code
A fully automated method for 3D individual tooth identification and segmentation in dental CBCT
Accurate and automatic segmentation of three-dimensional (3D) individual teeth from cone-beam computerized tomography (CBCT) images is a challenging problem because of the difficulty in separating an individual tooth from adjacent teeth and its surrounding alveolar bone.
Framelet Pooling Aided Deep Learning Network : The Method to Process High Dimensional Medical Data
Machine learning-based analysis of medical images often faces several hurdles, such as the lack of training data, the curse of dimensionality problem, and the generalization issues.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
