3D Mask R-CNN data

Image repository of the paper 3D Mask R-CNN Benchmarks in Controlled Environment and Morphogenesis StudyThis repository contains the test set of the Phallusia mammillata dataset and used in the paper to train and validate the 3D Mask R-CNN. The test set is composed of the PM1 embryo images and ground truth. In details:the 3D input image of Phallusia mammillata PM1 embryo (Inputs.zip)the ground truth ASTEC instance segmentation of these input images (ASTEC_Ground_truth.zip)the predictions infered by the trained 3D Mask R-CNN (3D_Mask_R_CNN.zip)the predictions infered by the state-of-the-art network for cell instance segmentation Cellpose with its pre-trained weights cyto3 (Cellpose_cyto3.zip)the predictions infered by Cellpose after being retrained over a sample of the Phallusia mammillata dataset (Cellpose_retrained.zip)the resulting weights of the 3D Mask R-CNN trained over the Phallusia mammillata dataset.These data can be used to reproduce the 3D Mask R-CNN inference over the Phallusia mammillata test set and to evaluate the predictions against the ASTEC ground truth.The 3D Mask R-CNN code is available here: https://github.com/gdavid57/3d-mask-r-cnnSee the "morphogenesis" branch for the Phallusia mammillata dataset.