Image-Level Uncertainty in Pseudo-Label Selection for Semi-Supervised Segmentation.
Payden McBeeFatima ZulqarnainSana SyedDonald E. BrownPublished in: EMBC (2022)
Keyphrases
- segmentation method
- image segmentation
- pixel level
- semi supervised
- segmentation algorithm
- grey level
- input image
- multiscale
- image data
- image analysis
- image regions
- image features
- brain mr images
- edge detection
- image content
- image representation
- image pixels
- image segmentation algorithm
- homogeneous regions
- segmentation accuracy
- adaptive thresholding
- image classification
- segmented images
- image retrieval
- semantic segmentation
- test images
- single image
- gray level images
- energy functional
- image segments
- labeling process
- low depth of field
- region level
- superpixels
- bounding box
- low level
- semi supervised learning
- region growing
- energy function
- similarity measure
- berkeley segmentation dataset
- optimal segmentation
- labeling problems
- region segmentation
- segmentation errors
- microscopy images
- unlabeled data
- image segmentation algorithms
- shape prior
- medical images
- region merging
- object segmentation
- pixel wise