Tag: deep learning

Chinese researchers distilled three large neural networks into a lightweight model that identifies Ligustici Rhizoma et Radix decoction pieces and ...

A conditional generative adversarial network tuned by an Adaptive Jaya Algorithm generated synthetic forest images that, combined with EfficientNet-B0 feature ...

A meerkat-optimized gated recurrent unit model achieved 96.65 percent accuracy and an AUC of 0.97 in classifying table tennis skill ...

A probabilistic dynamic graph deep learning model developed on Prince Edward Island predicted potato crop coefficients with R² values up ...

A retrospective Mayo Clinic study found that the DEXI dermoscopy AI tool, using a threshold score of 3.0, correctly identified ...

A Japanese research team built a deep learning framework called MMMID that tracks beating heart muscle motion from 4D cardiac ...

A deployment-efficient CNN-LSTM framework with channel attention detects encrypted, imbalanced, and heterogeneous malicious traffic in real time on CPU-only hardware, ...

A variational Bayesian neural network trained on the Wisconsin Diagnostic Breast Cancer dataset matches conventional classifiers while flagging which predictions ...

A new non-iterative neural network called DNet-MRSP injects multi-resolution speckle priors into a U-Net decoder, achieving 0.00302-pixel displacement accuracy at ...

A systematic review of 11 studies finds that deep learning models using ultrasound show moderate sensitivity and high specificity for ...

A development study combined deep learning segmentation with persistent homology analysis of optic nerve head tissues, achieving strong glaucoma discrimination ...

A retrospective Chinese study reports that a CT-based multimodal 2.5D deep learning model achieved an AUC of 0.931 and 0.981 ...

University of Cincinnati Cancer Center researchers report that a hybrid statistical and deep learning survival model outperformed comparison models on ...

A new hybrid convolution-Mamba network uses dual-domain masked image modeling to diagnose developmental dysplasia of the hip from B-mode ultrasound ...

A semi-supervised framework that guides segmentation networks with signed distance maps achieved stronger boundary delineation on two breast cancer histopathology ...

Researchers in Yunnan Province, China, have developed a low-cost method that counts tobacco plants from UAV imagery by tracing row ...

A retrospective two-center study combined radiomic and deep-learning features from CT images to predict occult lymph node metastasis in clinically ...

A hybrid deep learning framework that combines unsupervised feature extraction with supervised regression outperformed a standard neural network and conventional ...

Researchers built a low-cost pavement inspection pipeline from smartphones, a denoising diffusion model, and YOLOv11m, showing synthetic images improve alligator ...

A new deep learning framework that pairs super-resolution image enhancement with swarm-optimized transfer learning classified Alzheimer's disease stages from MRI ...