Automatic Segmentation of Mandible from Conventional Methods to Deep Learning—A Review.
- Published in:
- Journal of Personalized Medicine, 2021, v. 11, n. 7, p. 629, doi. 10.3390/jpm11070629
- By:
- Publication type:
- Article
Works matching AU Witjes, Max Johannes Hendrikus
Results: 6
1
2
Mandible Segmentation of Dental CBCT Scans Affected by Metal Artifacts Using Coarse-to-Fine Learning Model.
- Published in:
- Journal of Personalized Medicine, 2021, v. 11, n. 6, p. 560, doi. 10.3390/jpm11060560
- By:
- Publication type:
- Article
3
Recurrent Convolutional Neural Networks for 3D Mandible Segmentation in Computed Tomography.
- Published in:
- Journal of Personalized Medicine, 2021, v. 11, n. 6, p. 492, doi. 10.3390/jpm11060492
- By:
- Publication type:
- Article
4
Robust and Accurate Mandible Segmentation on Dental CBCT Scans Affected by Metal Artifacts Using a Prior Shape Model.
- Published in:
- Journal of Personalized Medicine, 2021, v. 11, n. 5, p. 364, doi. 10.3390/jpm11050364
- By:
- Publication type:
- Article
5
A Standardized Framework for Fluorescence-Guided Margin Assessment for Head and Neck Cancer Using a Tumor Acidosis Sensitive Optical Imaging Agent.
- Published in:
- Molecular Imaging & Biology, 2021, v. 23, n. 6, p. 809, doi. 10.1007/s11307-021-01614-z
- By:
- Publication type:
- Article
6
Improving oral cavity cancer diagnosis and treatment with fluorescence molecular imaging.
- Published in:
- Oral Diseases, 2021, v. 27, n. 1, p. 21, doi. 10.1111/odi.13308
- By:
- Publication type:
- Article