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Iterative multi-path tracking for video and volume segmentation with sparse point supervision
[article]
2018
arXiv
pre-print
Recent machine learning strategies for segmentation tasks have shown great ability when trained on large pixel-wise annotated image datasets. It remains a major challenge however to aggregate such datasets, as the time and monetary cost associated with collecting extensive annotations is extremely high. This is particularly the case for generating precise pixel-wise annotations in video and volumetric image data. To this end, this work presents a novel framework to produce pixel-wise
arXiv:1809.00970v1
fatcat:bkyqrz6k4rcadjfxs56jrlc55a