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: MICCAI (2) (2022)
Keyphrases
- learning models
- weakly supervised
- superpixels
- machine learning
- loss function
- semi supervised learning
- learning algorithm
- semi supervised
- topic models
- relation extraction
- conditional random fields
- object class
- learning tasks
- machine learning algorithms
- named entities
- learning problems
- information extraction
- classification models
- support vector machine
- segmentation algorithm
- feature space
- multiscale
- graphical models
- object detection