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Segmentation of Partially Overlapping Convex Objects in Silhouette Images
(Lappeenranta University of Technology, 2018-11-29)
Overlapping objects segmentation is of great importance for the automatic analysis in many industrial and biomedical applications. For example, in industrial applications characteristics of nanoparticles by shape and size ...
Plankton recognition from imaging flow cytometer data using convolutional neural networks
(2018)
Research on plankton populations is bottlenecked by the ability to obtain species-level information within a required time frame. Recent technological advances in imaging hardware have made it possible to obtain large ...