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Bots for Software-Assisted Analysis of Image-Based Transcriptomics
2017
2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
We introduce software assistants -bots -for the task of analyzing image-based transcriptomic data. The key steps in this process are detecting nuclei, and counting associated puncta corresponding to labeled RNA. Our main release offers two algorithms for nuclei segmentation, and two for spot detection, to handle data of different complexities. For challenging nuclei segmentation cases, we enable the user to train a stacked Random Forest, which includes novel circularity features that leverage
doi:10.1109/iccvw.2017.24
dblp:conf/iccvw/CicconetHRS17
fatcat:5nwixsujbffhhfugzt2kelolbm