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: CoRR (2022)
Keyphrases
- multi channel
- interactive learning
- weakly supervised
- attention mechanism
- image classification
- visual attention
- saliency map
- visual features
- topic models
- object class
- bag of words
- image representation
- relation extraction
- superpixels
- feature extraction
- semi supervised
- image features
- named entities
- sparse representation
- computer technology
- visual words
- low level features
- object detection
- input image
- eye tracking
- object segmentation
- pairwise
- machine learning
- object recognition
- multiscale
- image sequences