Tag: deep learning

Researchers built a two-stage, biomimetically inspired AI pipeline that detects primary bone tumors on X-rays while respecting strict false-alarm budgets, ...

A new multimodal AI framework fuses RGB images, segmentation masks, depth maps, and text prompts to estimate robotic gripper pressure ...

Researchers have developed a physics-informed machine learning framework that predicts the remaining useful life of electric vehicle drive systems with ...

Researchers show that a selective embedding data loading strategy alternating X-ray and CT scans lets deep learning models reach competitive ...

A new survey compares marker-based, markerless and thermal imaging approaches to human pose estimation for detecting gait changes linked to ...

Researchers harnessed a pathology foundation model to read endometrial biopsy slides, predicting IVF live birth outcomes and identifying the receptive ...

A new calibration framework shows that common benchmarking metrics masked real perturbation-specific signal, and that deep learning models can outperform ...

A new multi-stream deep learning framework called MS-AtroNet combines convolutional, state-space, wavelet, and evidential components to classify Alzheimer's MRI slices ...

A scoping review of 118 studies finds that deep learning models excel at detecting parasites in microscopy images under experimental ...

Researchers at Institute of Science Tokyo have developed ITCD, a two-stage diffusion model with trajectory constraints that fills missing values ...

A controlled head-to-head study shows Vision Transformers beat convolutional networks on real X-ray diffraction data once fine-tuned, while CNNs remain ...

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

A localized convolutional neural network trained on ASCAT satellite radar data outperforms the operational soil moisture product and, during heavy ...

Researchers have trained convolutional neural networks on images from a modified 3D printer to automatically identify living, Rose Bengal-stained benthic ...

A new multimodal deep learning framework called GeoEPred combines protein language model semantics with predicted 3D structures to more accurately ...

A new deep learning model called BiConvLSTM-UNet can restore missing regions in weather radar mosaic data without requiring any map ...

Researchers at Shanghai Jiao Tong University have developed a fault diagnosis framework that uses recurrent attentional reinforcement learning to adaptively ...

A deep learning model trained on thousands of abdominal CT scans can automatically detect mistimed contrast phases and shows that ...

A new Matters Arising exchange in Pediatric Radiology argues that overall accuracy is the wrong benchmark for AI systems detecting ...

A new deep learning framework converts bearing vibration signals into dynamically weighted texture images and classifies them with a hybrid ...