Nature

A multi-task deep learning pipeline for classification, detection, and weakly supervised 3D segmentation of intraparenchymal hematoma on brain CT

This study developed a multi-task deep learning pipeline for the automated assessment of acute intracranial hemorrhage and perihematomal edema on non-contrast brain computed tomography. Acute ...
Nature

A generalist foundation model and database for open-world medical image segmentation

Vision foundation models have demonstrated vast potential in achieving generalist medical segmentation capability, providing a versatile, task-agnostic solution through a single model. However, ...
ascopubs.org

Deep learning-based brain tumor segmentation on limited sequences of magnetic resonance imaging.

Predictions of overall survival (OS) and progression-free survival (PFS) for specific therapeutic interventions in newly diagnosed glioblastoma multiforme (GBM) using Cellworks Singula: myCare-024-04.
News Medical

Deep learning method enhances vessel and plaque segmentation in stroke diagnosis

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...