IEEE

Dual-Branch Convolution–Transformer Network With Spectral–Spatial Attention for Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) classification is a key task in the field of remote sensing, aiming to assign category labels to each pixel by leveraging the spectral and spatial information in ...
Frontiers

Immunotherapy in rare tumors: From bench to bedside

Rare tumors, although individually uncommon, collectively account for a considerable proportion of cancer diagnoses and pose unique clinical and biological ...
Frontiers

Molecular Stratification and Surgical Management of Endometrial Cancer: Advances and Challenges

Endometrial cancer represents the most prevalent gynecologic malignancy in high-income regions, where its management conventionally hinges on ...
News-Medical.Net

New AI-based analysis method can accurately classify and monitor brain tumors

An international research team, with significant involvement from the Medical University of Vienna, has developed a new AI-based analysis method that can accurately classify brain tumors using genetic ...
IEEE

Temporal-Spatial Feature Extraction in IoT-Based SCADA System Security: Hybrid CNN-LSTM and Attention-Based Architectures for Malware Classification and Attack Detection

Abstract: This research presents a Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) model developed for malware classification from IoT devices in the SCADA system and for ...