The dataset consists of 2D histological microscopy tissue slices, stained with different stains, and landmarks denoting key points in each slice. The task is image registration - align all slices in a particular set of images (consecutive stain cuts) together, for instance to the initial image plane. The main challenges for these images are the following: very large image size, appearance differences, and lack of distinctive appearance objects. Our dataset contains 108 image pairs and manually placed landmarks for registration quality evaluation. A sample tissue of five stain cuts with highlighted landmarks is shown below.
The dataset consists of 2D histological microscopy tissue slices, stained with different stains, and landmarks denoting key points in each slice. The task is image registration - align all slices in a particular set of images (consecutive stain cuts) together, for instance to the initial image plane. The main challenges for these images are the following: very large image size, appearance differences, and lack of distinctive appearance objects. Our dataset contains 108 image pairs and manually placed landmarks for registration quality evaluation. A sample tissue of five stain cuts with highlighted landmarks is shown below.
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