WeGleNet: A Weakly-Supervised Convolutional Neural Network for the Semantic Segmentation of Gleason Grades in Prostate Histology Images.
Julio Silva-RodríguezAdrián ColomerValery NaranjoPublished in: CoRR (2021)
Keyphrases
- weakly supervised
- semantic segmentation
- superpixels
- prostate cancer
- input image
- image set
- multiple images
- object class
- image database
- segmentation algorithm
- segmentation method
- object recognition
- object categories
- object detectors
- bounding box
- topic models
- ground truth
- image features
- image understanding
- relation extraction
- image classification
- scene classification
- semi supervised
- image annotation
- conditional random fields
- natural images
- named entities
- partial occlusion
- test images
- image retrieval
- spatial information
- object classes
- image segmentation
- probabilistic model
- color histogram
- appearance model
- image regions