CellIdNet: Automatic Cell Instance Segmentation and Classification in Bone Marrow Examination with Double Backbone Networks.
Shiyin HeZheng HuangKai ChenJie GuoWeidong QiuPublished in: ML4CS (3) (2020)
Keyphrases
- statistical classification
- bone marrow
- stem cell
- features extraction
- fully automatic
- classification accuracy
- supervised learning
- image segmentation
- pixel classification
- pattern recognition
- support vector machine
- decision trees
- microscopic images
- support vector machine svm
- automatic classification
- lung nodules
- classification algorithm
- feature extraction and classification
- segmentation algorithm
- image classification
- white blood cells
- social networks
- fluorescence microscopy images
- cell segmentation
- shape prior
- classification method
- image analysis
- feature vectors
- neural network
- energy function
- text classification
- training set
- support vector
- multiscale
- confocal images