Tag: deep learning

A comprehensive review finds that while artificial intelligence shows striking performance in detecting, staging, and predicting gastric cancer outcomes, most ...

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

A new federated framework fine-tunes the Segment Anything Model for multi-organ segmentation by training only tiny low-rank adapters on quantized ...

Researchers in South Korea have developed a multimodal deep learning model that fuses visual analysis and textual rubrics to automatically ...

Researchers have built a hierarchical attention network that detects fake news in English, Hindi, and Marathi, reaching 98.9 percent accuracy ...

Researchers have built a deep learning model that fuses stock prices, technical indicators, financial news sentiment, and dynamically updated inter-stock ...

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

A controlled benchmark from El Salvador found that the lightweight hybrid MobileViT-v2-100 model reached 96.45 percent accuracy in classifying sugarcane ...

Researchers have built a hybrid quantum-classical deep learning model that uses variational quantum circuits and a statistical image prior to ...

Researchers have developed CL3AN-GNN, a graph neural network that borrows curriculum learning from education to progressively disentangle features and boost ...

Researchers have unveiled EEG-UDAF, an unsupervised domain adaptation framework that fuses dual-view frequency features with spatio-temporal modeling to recognize emotions ...

A new deep learning framework dramatically improves the calibration of ocean biogeochemical models and the reconstruction of plankton dynamics despite ...

Researchers have combined an Enhanced-Value attention scheme within a Swin Transformer with super-resolution-guided training to improve detection of tiny objects ...

A new systematic review of 28 studies finds that deep learning detects vulnerable carotid plaques with a pooled AUC of ...

Researchers converted serial cognitive reaction time data into images and used a Transformer-based deep survival model to predict disability progression ...

Researchers at MIT's Senseable City Lab and international collaborators have developed a deep learning framework that converts street camera video ...

Researchers in India have built a lightweight, attention-guided deep learning model that classifies 33 bacterial species from Gram-stained microscope images ...

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

An independent evaluation in PLOS Digital Health finds that deep learning models excel at breast cancer detection from medical images ...

A new open-source software package provides fast, modular tools for extracting interpretable cis-regulatory patterns from deep learning models of the ...