Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty.
Soufiane BelharbiJérôme RonyJose DolzIsmail Ben AyedLuke McCaffreyEric GrangerPublished in: IEEE Trans. Medical Imaging (2022)
Keyphrases
- max min
- weakly supervised
- segmentation algorithm
- segmentation method
- image classification
- fully supervised
- test images
- superpixels
- semantic segmentation
- image database
- image regions
- object recognition
- ground truth
- medical images
- min max
- object class
- input image
- robust optimization
- image retrieval
- machine learning
- image features
- multiscale
- image segmentation
- multiple images
- level set
- object segmentation
- supervised learning
- support vector machine
- feature vectors
- region of interest
- hill climbing
- relation extraction
- text mining
- d objects
- computer vision