Bayesian CNN for Segmentation Uncertainty Inference on 4D Ultrasound Images of the Femoral Cartilage for Guidance in Robotic Knee Arthroscopy.
Maria AnticoFumio SasazawaYu TakedaAnjali Tumkur JaiprakashMarie-Luise WilleAjay K. PandeyRoss CrawfordGustavo CarneiroDavide FontanarosaPublished in: IEEE Access (2020)
Keyphrases
- accurate segmentation
- articular cartilage
- manual segmentation
- segmentation algorithm
- segmentation method
- automatic segmentation
- image analysis
- mr images
- segmentation accuracy
- automated segmentation
- segmented images
- ground truth
- edge detection
- fully automatic
- fully automated
- test images
- image features
- image data
- microscopy images
- grey level
- adaptive thresholding
- segmentation errors
- image regions
- input image
- three dimensional
- bayesian inference
- multiple objects
- image retrieval
- bayesian networks
- automatically segmented
- random fields
- computer assisted
- medical images
- image segmentation
- visual inspection
- multiscale
- image segments
- semi automatic segmentation
- cell nuclei
- ultrasound images
- image registration
- registration accuracy
- energy function