Source codes:
| AttentionBoost | : | Learning what to attend by boosting fully convolutional networks |
| DeepDistance | : | A multi-task deep regression model for cell Detection in inverted microscopy images |
| DeepFeature | : | Unsupervised feature extraction via deep learning for histopathological images |
| ObjectOriented | : | Object oriented segmentation of cell nuclei in fluorescence microscopy images |
| Iter-hMin | : | Iterative h-minima based marker-controlled watershed for cell nucleus segmentation |
| Circle-fit | : | Algorithm for locating circles on a set of pixels (need to modify the GraphRLM source codes) |
| GraphRLM | : | Graph run-length matrices for unsupervised segmentation of histopathological images |
Datasets:
| NucleusSegData | : | Cell nucleus segmentation dataset for fluorescence microscopy images |