Image registration is a fundamental task in image analysis in which the transform that moves
the coordinate system of one image to another is calculated. Registration of multi-modal …

Registration of multiple stained images is a fundamental task in histological image analysis.
In supervised methods, obtaining ground-truth data with known correspondences is …

Background and objective The use of several stains during histology sample preparation
can be useful for fusing complementary information about different tissue structures. It …

Background and objective The automatic registration of differently stained whole slide
images (WSIs) is crucial for improving diagnosis and prognosis by fusing complementary …

Abstract Background and Objective Histopathological image registration is an essential
component in digital pathology and biomedical image analysis. Deep-learning-based …

Registration of multiple sections in a tissue block is an important pre-requisite task before
any cross-slide image analysis. Non-rigid registration methods are capable of finding …

Histopathological diagnosis is the golden standard for cancer diagnosis and grading. The
past decade has witnessed great successes of vision‐based deep learning in computer …

Fusing of information, obtained during the histological slides staining can be helpful for
diagnosing and further patient treatment. However, when the slides are being prepared …

The use of different dyes during histological sample preparation reveals distinct tissue
properties and may improve the diagnosis. Nonetheless, the staining process deforms the …

The ACROBAT challenge aims to advance the development of multimodal image
registration algorithms for histopathological whole slide images (WSI). The objective is to …