Breaking tunnel vision, imaging AI lifts fluorescence image restoration accuracy and speed

Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...
IEEE

Adaptive Structure Strategy for Designing Nonparametric Models Based on Differential Neural Networks Using Functional Projection

Abstract: Differential neural networks (DiNNs) encounter a trade-off between the approximation quality and structural complexity. One promising approach to address this trade-off is incorporating ...
The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...
IEEE

An Intelligence Energy Consumption Model based on CNN-LSTM Neural Network in the Data Centers*

Abstract: Constructing an accurate energy consumption model can obtain server energy consumption in real-time and optimize data center energy consumption for resource providers. Considering the “low ...