NIH-3T3 Fibroblast Phase Contrast Segmentation (Usiigaci-Mask R-CNN)

Download RDF PackageIntended Use A Mask R-CNN trained to detect and segment cells in 2D images. Images Microscopy modality: Phase contrast Data shape: 2D Cell type: Fibroblast (NIH/3T3) in electrotaxis Source: Usiigaci Caveats and Recommendations This model is only compatible with the beta release of deepImageJ. The model is provided as a usecase for deepImageJ. For its integration in image processing workflows it has should be fine-tuned and validated.Trained model given in Usiigaci for instance segmentation of cells in a 2D substrate and phase contrast microscopy images. The model is a Mask R-CNN and the input is preprocessed to get an RGB image from the grayscale image. (Uploaded via https://bioimage.io