Improving quantitative prediction of protein subcellular locations in fluorescence images through deep generative models.
Yu LiGuo-Hua ZengYong-Jia LiangHong-Rui YangXi-Liang ZhuYu-Jia ZhaiLi-Xia DuanYing-Ying XuPublished in: Comput. Biol. Medicine (2024)
Keyphrases
- generative model
- subcellular localization
- microscope images
- probabilistic model
- three dimensional
- visual patterns
- input image
- image classification
- mixture model
- image features
- object recognition
- object parts
- protein interaction
- image set
- test images
- image retrieval
- image matching
- prior knowledge
- segmentation algorithm
- discriminative models
- information extraction
- hierarchical hidden markov models
- computer vision
- discriminative learning
- protein structure
- object categories
- segmentation method
- graphical models