New AI Framework Boosts Brain Tumor Segmentation Accuracy
A new deep-learning framework uses mass-preserving geometric transformation to improve brain tumor segmentation accuracy and efficiency on the BraTS 2023 ...
A new deep-learning framework uses mass-preserving geometric transformation to improve brain tumor segmentation accuracy and efficiency on the BraTS 2023 ...
Lobar classical radiomics from combined inspiratory and expiratory CT scans outperformed handcrafted measures in detecting chronic airflow limitation in a ...
Four deep learning models tested on selected cervical CT slices showed strong but uneven performance in detecting odontoid fractures, with ...
A phase-adaptive deep learning pipeline automatically quantified five liver indices from gadoxetic acid-enhanced MRI without inter-phase co-registration, matching manual measurements ...
A multicenter study of 603 rectal cancer patients found that a deep learning network segmented rectal tumors on MRI with ...
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 retrospective Dutch proof-of-concept study found that nnU-Net trained from scratch on 10 patients reached a median Dice score of ...
A neuroimaging study of 211 adults found that people with metabolic syndrome have larger choroid plexus volumes linked to low ...
An automated MRI-based deep learning method segmented 4,908 hips from the Generation R cohort, establishing the first population-level 3D reference ...
A five-center study shows deep learning models, especially nnU-Net, predict aggressive meningioma grades from MRI more reliably across hospitals than ...
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© 2026 Scienmag - Science Magazine