Comparing Training Strategies Using Multi-Assessor Segmentation Labels for Barrett's Neoplasia Detection.
T. G. W. BoersCarolus H. J. KustersKiki N. FockensJelmer B. JukemaMartijn R. JongJeroen de GroofJacques J. BergmanFons van der SommenPeter H. N. de WithPublished in: CaPTion@MICCAI (2022)
Keyphrases
- training set
- image labeling
- training examples
- reliable detection
- object detection
- segmented images
- image segmentation
- multiscale
- level set
- discriminative classifiers
- segmentation method
- complex background
- false alarms
- segmentation algorithm
- object segmentation
- false positives
- semantic segmentation
- labeling problems
- training data
- pairwise
- cell segmentation
- multi label
- low signal to noise ratio
- supervised learning
- medical images
- boundary detection
- training process
- bounding box
- detection algorithm
- shape prior
- automatic detection
- detection rate
- labelled data
- manual labeling
- information retrieval
- circular hough transform
- region growing
- test collection
- energy function
- graph cuts
- computer vision