News-Medical.Net

Deep learning model predicts vascular cognitive impairment from brain scans

The team built a DenseNet – a densely connected convolutional neural network – that learns hierarchical features directly ...
AlphaGalileo

Transfer learning for subject-independent motor imagery EEG classification using convolutional relational networks

A researcher from Nazarbayev University, in collaboration with Astana IT University, has developed an artificial intelligence ...
EDN

AI-powered medical imaging: Turning data into faster diagnoses

Medical imaging has become one of the most critical pillars of modern healthcare to provide insights into diagnosis, treatment planning, and disease management. However, the very success of imaging ...
IEEE

Attention-Guided CNN for Accurate Skin Lesion Classification on Imbalanced Medical Datasets

Abstract: This paper, proposes a CNN architecture which combines the Channel Attention Module (CAM) and the Spatial Attention Module (SAM) for skin lesion classification. The CAM and SAM contribute to ...