IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach.
Haoyuan ChenChen LiXiaoyan LiMd Mamunur RahamanWeiming HuYixin LiWanli LiuChanghao SunHongzan SunXinyu HuangMarcin GrzegorzekPublished in: Comput. Biol. Medicine (2022)
Keyphrases
- multi channel
- weakly supervised
- interactive learning
- attention mechanism
- image classification
- visual attention
- saliency map
- superpixels
- visual features
- bag of words
- relation extraction
- topic models
- object class
- image features
- semi supervised
- image representation
- named entities
- visual words
- feature extraction
- computer technology
- eye movements
- sparse representation
- co occurrence
- natural images
- pairwise
- object segmentation
- object detection
- object detectors
- higher level