Self-Supervised Learning with Masked Image Modeling for Teeth Numbering, Detection of Dental Restorations, and Instance Segmentation in Dental Panoramic Radiographs.
Amani AlmalkiLongin Jan LateckiPublished in: CoRR (2022)
Keyphrases
- radiographic images
- image segmentation
- segmentation algorithm
- multiscale
- image analysis
- segmentation method
- computer aided
- image regions
- test images
- segmentation accuracy
- grey level
- input image
- image data
- bounding box
- circular hough transform
- high resolution
- image structure
- foreground background separation
- image segments
- intensity variations
- pixel level
- multiple objects
- image features
- edge detection
- single image
- feature points
- image acquisition
- region of interest
- energy functional
- object detectors
- complex background
- energy function
- level set
- iterative learning
- moving objects
- super resolution