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 ...
CNX Software

OpenCV 5 release – New DNN engine with enhanced ONNX and LLM/VLM support, Intel, Arm, and RISC-V hardware optimizations

OpenCV 5 open-source computer vision library has recently been released with a brand-new DNN (Deep Neural Network) engine ...
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 ...
IEEE

Deep Learning Image Classification Abiotic Plant Disease Detection Classification Using MobileNet

Abstract: In the field of agriculture sector the key role of feature food which has a major role in the emergent population with their economy. In the food production for plant disease, it may cause ...
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 ...