Automatic Assessment of Pectus Excavatum Severity From CT Images Using Deep Learning.
Bruno SilvaInês PessanhaJorge Correia-PintoJaime C. FonsecaSandro F. QueirosPublished in: IEEE J. Biomed. Health Informatics (2022)
Keyphrases
- deep learning
- automatic assessment
- ct images
- computed tomography
- medical images
- unsupervised learning
- ct scans
- machine learning
- automatic analysis
- medical imaging
- treatment planning
- weakly supervised
- fracture detection
- traumatic pelvic
- programming course
- mental models
- region of interest
- supervised learning
- expectation maximization
- three dimensional
- image segmentation
- traumatic brain injury
- image processing
- computer vision