Addressing Sparse Annotation: a Novel Semantic Energy Loss for Tumor Cell Detection from Histopathologic Images.
Zhengyang XuXiangLong DuYuxin KangHong LvMing LiWentao YangLei CuiHansheng LiYaqiong XingJun FengLin YangPublished in: BIBM (2023)
Keyphrases
- image annotation
- image analysis
- image data
- automatic annotation
- ground truth
- image database
- image retrieval
- input image
- three dimensional
- test images
- image registration
- edge detection
- image classification
- semantic annotation
- object recognition
- semantic labels
- active learning
- image features
- manual annotation
- visual concepts
- semantic gap
- feature points
- web images
- image collections
- image regions
- automatic image annotation
- low level features
- semantic web
- fully automatic
- energy consumption
- image set
- image understanding
- breast cancer
- brain tumors
- sparse representation
- high dimensional