Tag: whole-slide imaging

Researchers developed RIDGE, a weakly supervised deep learning system that predicts gene expression signatures and biomarkers such as microsatellite instability ...

Researchers in China have developed a neighbor-constrained attention framework that improves how artificial intelligence classifies gigapixel whole-slide pathology images by ...

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

Researchers have developed SlideChat, a multimodal generative AI assistant that interprets gigapixel whole-slide pathology images across 31 cancer types and ...

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

Researchers have developed BasNet, an open-source attention U-Net that segments axons in Bielschowsky silver-stained brain sections with accuracy that meets ...