WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
IEEE

Towards Complex Backgrounds: A Unified Difference-Aware Decoder for Binary Segmentation

Abstract: Binary segmentation is used to distinguish objects of interest from background, and is an active area of convolutional encoder-decoder network research. The current decoders are designed for ...
IEEE

MACSDE:Multi-Head Autocorrelated Convolutional Squeeze Densely-Connected Encoder for Alzheimer’s Volumetric Biomarker Prediction

Abstract: Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder that manifests with subtle structural changes in key brain regions, often occurring years before clinical symptoms appear ...
Frontiers

Diagnostically competitive performance of a physiology-informed generative multi-task network for contrast-free CT perfusion

Perfusion imaging is extensively utilized to assess hemodynamic status and tissue perfusion in various organs. Computed tomography perfusion (CTP) imaging plays a key role in the early assessment and ...