NEUBIAS-WG5 workflow for nuclei segmentation using ilastik v1.3.2 and Python post-processing.
NEUBIAS-WG5 workflow for nuclei segmentation using Mask-RCNN. The workflow uses Matterport Mask-RCNN. Keras implementation. The model was trained with Kaggle 2018 Data Science Bowl images.
This workflow predict landmark positions on images by using DMBL landmark detection models.
An implementation of Belief Propagation for factor graphs, also known as the sum-product algorithm
This workflow predict landmark positions on images by using LC landmark detection models.
