Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling.
Iain CarmichaelAndrew H. SongRichard J. ChenDrew F. K. WilliamsonTiffany Y. ChenFaisal MahmoodPublished in: CoRR (2022)
Keyphrases
- learning models
- weakly supervised
- semi supervised learning
- semi supervised
- superpixels
- machine learning
- topic models
- conditional random fields
- learning algorithm
- relation extraction
- loss function
- classification models
- object class
- machine learning algorithms
- learning tasks
- named entities
- learning problems
- labeled data
- training data
- data mining
- support vector
- object detectors
- decision trees
- natural images
- graphical models
- supervised learning
- object detection