Histology permits the observation of otherwise invisible structures of the internal topography
of a specimen. Although it enables the investigation of tissues at a cellular level, it is invasive …

Ischemic stroke is the most common cerebrovascular disease, and its diagnosis, treatment,
and study relies on non-invasive imaging. Algorithms for stroke lesion segmentation from …

Automatic Non-rigid Histological Image Registration (ANHIR) challenge was organized to
compare the performance of image registration algorithms on several kinds of microscopy …

Abstract Three-dimensional (3D) optical imaging of whole biological organs with
microscopic resolution has remained a challenge. Most versions of such imaging techniques …

Tumor cells present complex behaviors in their interactions with other cells. This intricate
behavior is driving the need to develop new tools to understand these ecosystems. The …

Background Given the need for descriptive and increasingly mechanistic morphological
analyses, contrast‐enhanced microcomputed tomography (microCT) represents perhaps the …

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

Biomedical image segmentation is a mechanism that distinguishes the boundaries of
various lesion regions within the image, be it 2D or 3D. In the current scenario, various soft …

The Gleason score is one of the most important parameters for therapeutic decision-making
in prostate cancer patients. Gleason growth patterns are defined by their histological …

Macromolecular cancer drugs such as therapeutic antibodies and nanoparticles are well
known to display slow extravasation and incomplete penetration into tumors, potentially …