Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
CHICAGO--(BUSINESS WIRE)--GE HealthCare (Nasdaq: GEHC) unveiled three new advanced deep learning image processing and reconstruction solutions as a part of its Effortless Recon DL portfolio at the ...
A deep learning model using retinal images obtained during ROP screening may be used to predict diagnosis of BPD and PH.
Researchers have tested eight stand-alone deep learning methods for PV cell fault detection and have found that their accuracy was as high as 73%. All methods were trained and tested on the ELPV ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...