Tag: digital pathology

A comprehensive new review in Neural Computing and Applications charts how machine learning and deep learning are transforming lymphoma diagnosis ...

Researchers have developed a frequency-decoupled AI framework that nearly doubles cross-center nuclei segmentation accuracy in histopathology without requiring stain normalization ...

A new editorial in Veterinary Oncology introduces a landmark article collection showing how artificial intelligence, from deep learning pathology to ...

A deep learning system called OncoPetNet helped veterinary pathologists detect roughly twice as many mitotic figures in canine soft tissue ...

A multicenter study reports that an ensemble deep learning model called LMRNet can predict lymph node metastasis in early gastric ...

FDA researchers have built HistoART, a system that uses a fine-tuned pathology foundation model to detect six common artifact types ...

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

Researchers at the University of Naples Federico II have developed a hierarchical graph neural network framework that represents breast tissue ...

Researchers have developed CROWN, a self-supervised visual foundation model pretrained on more than ten million cytology images that achieved top ...

Researchers at the National Cancer Institute have unveiled TMA-Grid, an open-source, zero-footprint web application that combines a convolutional neural network ...