Tag: deep learning

Taxonova, a deep learning classifier, achieved high species-level accuracy across short- and long-read ribosomal amplicons in benchmark tests.

Researchers report a deep learning framework called ShearFocusNet that denoises low-dose CT images by combining Shearlet-based directional perception with spatial ...

A new hybrid CNN-Transformer model called AGDE-Net accurately segments tumor cores and peritumoral edema in adult glioma MRI while keeping ...

A class-adaptive ensemble of three neural networks classifies brain tumors in MRI scans with 99.39 percent benchmark accuracy, validated by ...

A multimodal deep learning framework combining CT radiomics, clinical variables, and EGFR status predicted growth trends of pulmonary ground-glass nodules ...

A new few-shot learning framework called scCAPReSE detects large-scale genomic rearrangements in single-cell Hi-C data using pre-trained image model representations, ...

A new study reports modest but statistically significant associations between deep learning-derived retinal vascular traits and serum lipid subclasses in ...

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 ...