Tag: deep learning in pathology

A retrospective study in high-grade serous tubo-ovarian carcinoma found that HRDPath inferred homologous recombination deficiency from pathology slides with an ...

A new iScience study introduces CSCC-PAG, a deep learning framework that combines domain-specific pre-training with self-supervised domain adaptation to improve ...

Every cancer diagnosis begins with a slide. A thin slice of tumor tissue is stained, mounted on glass, and examined ...

A semi-supervised deep learning system called TBMNet accurately quantifies tumor budding in colorectal cancer slides and reveals molecularly distinct budding ...

Researchers in China have developed a Transformer-CNN deep learning framework that segments and grades gastric intestinal metaplasia in whole slide ...

Gastric cancer treatment may be entering an era in which a tumour’s microscopic appearance is translated into a personalised forecast ...

A new artificial-intelligence system could help pathologists search through three-dimensional tissue specimens without forcing them to inspect every microscopic layer ...

In the rapidly evolving landscape of biomedical research, one of the most transformative advancements in recent years has been the ...

In a groundbreaking development at the intersection of artificial intelligence and medical diagnostics, researchers have unveiled a novel AI-driven system ...