Semantic Segmentation of Atherosclerosis in Superficial Layer of IVOCT Images Using Deep Learning.
Xinbo RenHaiyuan WuToshiyuki ImaiYuxia ZhaoTakashi KuboPublished in: WI/IAT (Workshop/Special Session) (2021)
Keyphrases
- deep learning
- semantic segmentation
- input image
- image database
- image features
- weakly supervised
- ground truth
- superpixels
- image understanding
- image set
- object recognition
- bounding box
- image classification
- test images
- region of interest
- image regions
- multiple images
- image retrieval
- training data
- image annotation
- feature extraction
- unsupervised learning
- viewpoint