A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images.
He LiYutaro IwamotoXianhua HanLanfen LinRuofeng TongHongjie HuAkira FurukawaShuzo KanasakiYen-Wei ChenPublished in: ICCE (2022)
Keyphrases
- detection method
- medical images
- weakly supervised
- face detection
- object detectors
- object class
- relation extraction
- superpixels
- detection algorithm
- topic models
- semi supervised
- deformable models
- training set
- named entities
- object detection
- supervised learning
- training samples
- image processing
- natural images
- text classification
- text mining