Tag: deep learning

A hybrid TransUNet–DenseNet121 deep learning framework classifies brain tumors from MRI scans with reported accuracies up to 99.56 percent while ...

A hybrid CNN-Transformer framework called LHCT-Net reached 98.55% accuracy for melanoma-versus-non-melanoma classification on the 25,331-image ISIC 2019 dataset.

An explainable transformer model fusing MRI with texture descriptors reached over 99 percent accuracy in Alzheimer's disease staging benchmarks, with ...

A new review examines how neuroscience-inspired deep learning and genetic algorithms can be combined into hybrid, biologically plausible AI systems.

A study of 2,000 CBCT scans found that an XGBoost model using tooth-specific pulp-dentin index values from all four first ...

Researchers propose a scheme that embeds semantically compressed information into quantum states, with simulations suggesting it can exceed conventional quantum ...

A new deep learning framework segments, classifies and counts microscopic mineral grains with 97.57% accuracy without requiring annotated segmentation masks.

A physics-aware deep learning framework reconstructs a gapless, hourly tropospheric NO2 record over four Asian pollution hotspots from 2019 to ...

A retrospective external validation study reports that a multitask deep learning model can estimate McGoon ratios from chest radiographs in ...

A multicenter Chinese study reports that an AI model combining retinal vascular geometric parameters from fundus images with clinical data ...