Deep-Learning for Tidemark Segmentation in Human Osteochondral Tissues Imaged with Micro-computed Tomography.
Aleksei TiulpinMikko FinniläPetri LehenkariHeikki J. NieminenSimo SaarakkalaPublished in: ACIVS (2020)
Keyphrases
- computed tomography
- medical images
- deep learning
- medical imaging
- ct images
- ct scans
- unsupervised learning
- image segmentation
- ct data
- ct imaging
- magnetic resonance images
- image analysis
- machine learning
- mr images
- computer aided diagnosis
- fracture detection
- region of interest
- magnetic resonance
- x ray
- deformable models
- pet ct
- segmentation algorithm
- image registration
- computer tomography
- weakly supervised
- image sequences
- remote sensing
- segmentation method
- mental models
- three dimensional
- inter observer variability
- data mining
- image reconstruction