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Found 5 papers, 5 papers with code
Benchmarking of image registration methods for differently stained histological slides
Image registration is a common task for many biomedical analysis applications.
Supervised and unsupervised segmentation using superpixels, model estimation, and Graph Cut.
Image segmentation is widely used as an initial phase of many image analysis tasks.
Region growing using superpixels with learned shape prior.
Region growing is a classical image segmentation method based on hierarchical region aggregation using local similarity rules.
Detection and Localization of Drosophila Egg Chambers in Microscopy Images.
Drosophila melanogaster is a well-known model organism that can be used for studying oogenesis (egg chamber development) including gene expression patterns.
Binary Pattern Dictionary Learning for Gene Expression Representation in Drosophila Imaginal Discs.
The key part of our work is a binary pattern dictionary learning algorithm, that takes a set of binary images and determines a set of patterns, which can be used to represent the input images with a small error.
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