Nature

Deep Learning for Intracranial Hemorrhage Detection and Segmentation

Deep learning has emerged as a transformative tool in the detection and segmentation of intracranial haemorrhage, offering substantial improvements in diagnostic accuracy and speed. By utilising ...
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 ...
EurekAlert!

A novel deep learning model for medical image segmentation with convolutional neural network and transformer

Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...
European Medical Journal

AI Enhances Brain Tumour Diagnosis From MRI

Deep learning improves brain tumour detection accuracy and reduces false positives in MRI, supporting faster and more reliable diagnosis ...
Analytics Insight

Deep Learning for Computer Vision, Stanford University

Stanford University’s Deep Learning for Computer Vision (XCS231N) is a 100% online, instructor-led course offered by the ...
JSTOR Daily

Automated and accurate segmentation of leaf venation networks via deep learning

• Leaf vein network geometry can predict levels of resource transport, defence and mechanical support that operate at different spatial scales. However, it is challenging to quantify network ...
AZoOptics

Deep Learning-Enabled Microscopy Reveals Biomolecular Dynamics in Cells

This study presents MPALM, a novel microscopy technique that captures nanoscale biomolecular dynamics, overcoming limitations ...