U-Net Plus: Deep Semantic Segmentation for Esophagus and Esophageal Cancer in Computed Tomography Images.
Shuchao ChenHan YangJiawen FuWeijian MeiShuai RenYifei LiuZhihua ZhuLizhi LiuHaojiang LiHongbo ChenPublished in: IEEE Access (2019)
Keyphrases
- computed tomography images
- semantic segmentation
- automatic segmentation
- segmentation algorithm
- superpixels
- street scenes
- conditional random fields
- label transfer
- scene classification
- weakly supervised
- pascal voc
- object categories
- object segmentation
- breast cancer
- object classes
- object class
- object detection
- information extraction
- image analysis
- object recognition
- image segmentation
- image understanding
- input image
- long range
- bounding box
- shape prior
- object classification
- bag of words
- generative model