1. Image processing and computer vision pipeline for segmentation and cell detection.
Image processing and computer vision pipeline for segmentation and cell detection. Block diagram displaying the entire X-BRAIN workflow is described. The integration of sparsely labeled training data into our segmentation module (Step 1) is used to train a random forest classifier using ilastik. Densely annotated training data are used to perform hyperparameter optimization to tune our cell detection algorithm in Step 2. The final map of detected cells is displayed at the bottom of Step 2, with detected cells overlaid on the original X-ray image. Solid arrows, inputs into a module; dashed arrows, outputs; filled circle terminal, outputs that are stored in the spatial database.
Eva L. Dyer et al. eNeuro 2017;4:ENEURO
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