Tag: Medical Imaging

A new implicit neural representation framework compresses CT, MRI, PET, CTA and pathology images by up to 183-fold while preserving ...

Researchers have developed DynamicFusionNet, a decoder that adaptively fuses features across layers, scales and views to improve medical image segmentation ...

A study found that groups of trained student raters, when aggregated, can approach expert radiologist accuracy in segmenting knee recess ...

A new narrative review finds AI tools improving diagnostic sensitivity and workflow efficiency in radiology while warning of demographic bias, ...

A phantom study found that a spectral photon-counting CT prototype, tuned to the STD-B kernel at iDose4 level 9, outperformed ...

A new Vision Mamba-based network with enhanced edge-guided attention achieves competitive optic disc and cup segmentation across four fundus image ...

A preliminary five-patient study found that a prototype deep silicon photon-counting CT scanner produced virtual unenhanced images within 10 Hounsfield ...

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

Researchers report a lightweight radiomics framework that classified stroke types on brain CT scans with 99.28% internal validation accuracy in ...

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