Tissue segmentation of histology whole-slide images (WSI) remains a critical task in automated digital pathology workflows for both accurate disease diagnosis and deep phenotyping for research ...

Case Western Reserve University biomedical researchers develop first open-source, quality-control review tool for fast-growing digital pathology field There’s a low-tech problem troubling the ...

Pathological assessment of tissue samples is an integral part of clinical routines and preclinical research and follows well optimized and established workflows. Specimens are fixed with formalin and ...

A deep-learning computer network developed through research led by Case Western Reserve University was 100 percent accurate in determining whether invasive forms of breast cancer were present in whole ...

The University of Delaware’s Comparative Pathology Laboratory focuses on diagnostic surveillance for common and emerging diseases in animal species, including commercial broiler chicken flocks on the ...

Researchers at UT Southwestern Medical Center have developed a novel artificial intelligence (AI) model that analyzes the spatial arrangement of cells in tissue samples. This innovative approach, ...

The squares are representative partial pictures from the cancer microscopy slides, that the AI system has automatically organized by their similarity. A new AI-based tool for identifying colorectal ...

Brown amyloid beta plaques are visible in the slide on the left, which contains a tissue sample of an untreated brain with Alzheimer's Disease. There are no plaques in the tissue sample on the right, ...

Epredia, announced that it has launched sales of the SlideMate™ Thermal Slide Printer (TSP). SlideMate TSP is the newest addition to the company’s SlideMate portfolio of slide printers, which are used ...