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.
EurekAlert!

Deep learning-based model enables fast and accurate stroke risk prediction

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 ...
Neurology Advisor

AI Shows Strong Performance in Brain Tumor Radiotherapy Planning

Artificial intelligence tools in neuro-oncology demonstrate robust performance in detecting brain metastases and predicting clinical outcomes.
European Medical Journal

Pre-processing Improves AI Breast Imaging Accuracy

A study has found that the way medical images are prepared before analysis can have a significant impact on the performance of deep learning models.
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 ...