Computational Evaluation of the Combination of Semi-Supervised and Active Learning for Histopathology Image Segmentation with Missing Annotations.
Laura Gálvez JiménezLucile DierckxMaxime AmodeiHamed Razavi KhosroshahiNatarajan ChidambaranAnh-Thu Phan HoAlberto FranzinPublished in: ICCV (Workshops) (2023)
Keyphrases
- semi supervised
- active learning
- image segmentation
- supervised learning
- unlabeled data
- labeled data
- semi supervised learning
- semi supervised classification
- graph cuts
- multi view
- image processing
- computer vision
- missing data
- co training
- pool based active learning
- unsupervised learning
- machine learning
- pairwise
- training set
- multiscale
- clustering algorithm
- expectation maximization
- markov random field
- segmentation algorithm
- training examples
- reinforcement learning
- deformable models
- level set method
- batch mode
- data sets