Tag: deep learning

An explainable deep learning pipeline segments single cells in fluorescence microscopy images and classifies them as normal or metastasising, with ...

A new framework uses ant colony optimization to configure a modified DeepLabV3+ network with a residual feature fusion module, reporting ...

A new spectral-temporal deep learning framework reached 0.8469 accuracy on a fixed Sleep-EDF test partition while flagging low-confidence epochs for ...

Researchers introduce an attention-guided cross-representation distillation framework that utilizes MRI scans to achieve high accuracy in identifying subtle stages of ...

A new lightweight three-branch neural network called FLIFuse classifies bacterial pneumonia, viral pneumonia, and normal chest X-rays with 91.4 percent ...

Kazakh researchers built a 3.5-million-parameter multi-branch Transformer that recognizes Kazakh Sign Language gestures from unseen signers, outperforming three baselines under ...

Researchers have developed a self-supervised deep learning model, SA-S2S, that removes random noise from 3D seismic data without requiring clean ...

A new federated learning framework called NeuroSono-Net classifies neonatal brain ultrasound conditions across simulated institutions while keeping patient data local, ...

Researchers in South Africa combined deep learning, causal discovery and explainability to predict temperature breaks in apple cold rooms before ...

A deep learning model analyzing eye positioning and video-based attention achieved over 97% accuracy in distinguishing autistic from non-autistic children ...