Tag: Transformer

Researchers in China have developed a lightweight transformer model with a novel cross-axis attention module and a feature memory component ...

A new multi-task deep learning framework called ApexTransNet segments apical periodontitis lesions and grades radiographic severity on periapical radiographs with ...

Researchers have developed MuHP-DLNet, a multi-stage deep learning network with a damage-aware dynamic loss that improves the detection and segmentation ...

Researchers have built a transformer-based intrusion detection framework that models relationships among network traffic features and outperforms nine baseline AI ...

A new hybrid deep learning model tuned by a snake-inspired optimization algorithm achieves 98.13 percent accuracy in classifying sentiment from ...

Researchers in China have built a deep-learning model that fuses CT, MRI, and 3D radiation dose data to predict which ...

Researchers built an expert-annotated Chinese knee MRI dataset and an optimized Swin-Unet Transformer model that segments femoral and tibial cartilage ...

A new AI framework called RCTE improves the detection of small lesions and complex dental structures in panoramic radiographs while ...

Researchers at Harbin Normal University have developed WFGformer, a dual-branch transformer network that uses Haar wavelet frequency decomposition to restore ...

A Transformer-based multimodal AI model can predict the flavor profile and macronutrient content of ready-to-eat meals directly from product images, ...