Objective: This study aims to develop a deep learning (DL)-based multimodal framework that integrates magnetic resonance imaging (MRI), clinical, and laboratory data to predict programmed death ligand ...
Abstract: Current multi-band SAR feature extraction methods often fail to adequately exploit intra-band details and inter-band spectral relationships, limiting their classification performance. To ...
Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated ...
A research team from Tsinghua University has developed an optical computing system that dramatically reduces latency in feature extraction - one of the most critical stages in real-time data ...
Radiomics offers improved assessment of spinal cord pathology in MS, surpassing conventional MRI in precision and sensitivity. A study identified 12 significant radiomic features, with four ...
1 Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China 2 Department of Nuclear Medicine, The Second Affiliated Hospital of Fujian Medical University, ...
Abstract: This work proposes local feature restoration (LFR) for robust, energy-efficient feature extraction and data processing at the sensor node. Analog-to-Feature Extraction (AFE) reduces ...
If there's one thing you want in a PvP game, it's parity. Fairness. Justice. Ok, maybe justice only rears its head when Batman logs onto Fortnite in his favorite Ariana Grande skin, but generally you ...
This repository contains the code for TUNI, which has been submitted to ICRA 2026. The current repository includes the model files, evaluation files, pre-trained weights, and prediction images to ...
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