Spatial mapping technique allows researchers to understand tumor architecture

Tumors contain many different types of cells organized in complex spatial patterns that can influence how the disease progresses. Because of this, it is hard to predict how a tumor will develop and ...
News-Medical.Net

New algorithm enables precise subtyping of metabolic liver disease

Metabolic-associated steatotic liver disease (MASLD) is a clinically heterogeneous condition with highly variable outcomes ...
Scientific Research Publishing

A Lightweight MobileViT with a Dual-Path Attention Mechanism for MRI Image Classification ()

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
Frontiers

Passive Brain-Computer Interfaces: Moving from Lab to Real-World Application

Passive Brain-Computer Interfaces (pBCIs) have shown significant advancements in recent years, indicating their readiness for ...
IEEE

HSI-LiDAR Joint Classification via Progressive Spatial-Spectral-Frequency Fusion Learning

Abstract: Hyperspectral imagery (HSI) and light detection and ranging (LiDAR) data joint classification leverages multi-modal information to improve classification performance. However, existing ...
Scientific Research Publishing

A Novel ICT-Enabled Decision Support Approach for Surveillance and Control of Mosquito-Borne Diseases ()

Bura, A.H. and Mung’onya, E.M. (2026) A Novel ICT-Enabled Decision Support Approach for Surveillance and Control of ...
IEEE

Cross-Modality Spatial-Spectral Fusion Transformer with Spectral Amplification for VHR Image Classification

Abstract: Very high-resolution (VHR) image classification is a key and challenging task in remote sensing. The classification performance can be effectively enhanced by mining complementary ...