Deep learning in cone-beam computed tomography image segmentation for the diagnosis and treatment of acute pulpitis.
Xiaoyan ZhangXiaoyan ZhuZhiqiang XiePublished in: J. Supercomput. (2022)
Keyphrases
- deep learning
- acute myeloid
- image segmentation
- cone beam computed tomography
- unsupervised learning
- unsupervised feature learning
- machine learning
- graph cuts
- multiscale
- markov random field
- active contours
- level set
- image processing
- multiresolution
- expectation maximization
- segmentation algorithm
- mental models
- denoising algorithm
- computer vision
- data mining
- denoising
- weakly supervised
- feature extraction