Tag: deep learning

Researchers in Basel generated synthetic scoliosis-like CT scans by warping healthy spines, boosting AI segmentation accuracy on severely deformed vertebrae ...

Researchers have unveiled an explainable deep learning framework that detects insect crop pests in real time with up to 98 ...

Deep learning models appeared to detect inguinal hernias in children from chest X-rays, but a rigorous new study shows the ...

Researchers have developed a graph-based deep learning network that decodes imagined movements from EEG signals with accuracies of up to ...

Researchers in Tokyo have developed a transfer learning framework that encodes the topology of a source domain's feature space into ...

A dual-center study shows that a deep learning radiomics model applied to routine mammograms can noninvasively predict HER2-positive and HER2-low ...

Egyptian researchers have built a hybrid Vision Transformer and CNN framework with spectral band selection that outperforms few-shot learning methods ...

A neutrosophic neural network approach developed for wafer fabrication can identify which AI-generated factory due dates are unreliable, finding that ...

Researchers have reformulated multi-class classification as a many-objective problem in which each class is a separate goal, using evolutionary neural ...

Researchers at Boğaziçi University have developed a CycleGAN-based deep learning model with residual dense blocks and attention modules that significantly ...

A fusion of CT-based habitat radiomics and 3D deep learning predicted the hidden STAS invasion pattern in early-stage lung adenocarcinoma ...

A comprehensive new review argues that database architecture, not just algorithms, determines how successfully entity resolution links records across SQL ...

A hybrid automated machine learning system developed with the Archaeological Park of Pompeii classifies damaged roofs from drone imagery with ...

Researchers in China have built a physics-guided deep learning model that improves groundwater-level prediction in heavily pumped agricultural aquifers by ...

Researchers in Würzburg developed CAFEx, a weakly supervised AI pipeline that uses an anatomical bottleneck to estimate cardiac ejection fraction ...

A deep learning pipeline combining YOLOv5 detection, skeleton extraction and neural network classification can recognize falls, collisions and shelf climbing ...

A multimodal deep learning model combining MRI scans with clinical data classifies Alzheimer's disease stages with up to 95 percent ...

Researchers have built a hybrid transformer-U-Net that segments diabetic foot ulcers with expert-level overlap and quantitatively explainable visualisations.

Researchers have developed CHS-Net, a hybrid deep learning architecture that sets a new benchmark for segmenting cracks, erosion, and delamination ...

Researchers have combined neutrosophic set theory with deep feature geometry to give pretrained neural networks an interpretable, three-part measure of ...