Tag: Medical Imaging

A new deep learning network called MTF-Net combines multi-scale transformer attention with cross-branch feature fusion to segment brain tumors from ...

Researchers trained stage-specific StyleGAN3 models to synthesize human blastocyst images and validated them with distributional, spectral, and classifier-based tests, finding ...

A retrospective analysis of 194 patients found that PSMA-PET/CT identified 91% of clinically significant prostate cancers and had a high ...

In a retrospective I3LUNG study of 2,396 patients, multimodal AI outperformed standard clinical biomarkers for survival-outcome prediction, and AI support ...

A controlled study reports that MCGE-Net enhanced images using reference images, text and pixel labels, outperforming comparison methods across medical, ...

A calibration and electromagnetic tracking system achieved sub-millimeter accuracy for real-time augmented reality overlays during 16 robot-assisted pelvic lymph node ...

A 2026 review finds that distinct fat compartments around and within the kidney carry renal information and can change with ...

A Japanese research team built a deep learning framework called MMMID that tracks beating heart muscle motion from 4D cardiac ...

The European Society of Paediatric Radiology has grown past 1,600 members, but a 2025 survey of 112 members from 28 ...

The CARD framework reached a Macro-AUROC of 75.9% in semi-supervised chest X-ray disease classification, rising to 77.0% when pre-diagnostic clinical ...

A new hybrid convolution-Mamba network uses dual-domain masked image modeling to diagnose developmental dysplasia of the hip from B-mode ultrasound ...

A generative AI framework that augments radiomic features rather than images improved laryngeal lesion classification on NBI endoscopy data, with ...

A semi-supervised framework that guides segmentation networks with signed distance maps achieved stronger boundary delineation on two breast cancer histopathology ...

A new review traces bioluminescence from its chemical core in luciferin and luciferase to its roles in predation, mating, and ...

A particle swarm optimization strategy that dynamically selects the most informative clients in federated learning matches state-of-the-art methods for medical ...

A hybrid machine learning framework fusing autoencoder-learned representations with handcrafted texture features achieved approximately 99.85% test accuracy for cervical cancer ...

A three-dimensional framework using ontology-aware tissue representation and training-only counterfactual supervision improved brain-metastasis MRI segmentation in 38 cases from a ...

A narrative review finds that airway AI must preserve branching anatomy, generalize across institutions and demonstrate clinical utility rather than ...

A retrospective study of 246 patients found that a model combining multiparametric MRI radiomics, deep learning and clinical data achieved ...

A bibliometric analysis of 540 English-language AI and bone-metastasis publications through June 2026 found rapid growth after 2020, persistent imaging ...