New U-Net Variant Combines Hybrid Attention and Dilated Convolution for Brain Tumor Segmentation
A Chinese research team reports a new asymmetric U-Net with hybrid attention and residual dilated convolution that achieved Dice scores ...
A Chinese research team reports a new asymmetric U-Net with hybrid attention and residual dilated convolution that achieved Dice scores ...
A new review argues that deep learning skin lesion analysis must prove itself through external validation, fairness and clinical utility ...
A systematic benchmark of fifteen activation functions across CT, mammography and MRI deblurring finds that the spatially adaptive Funnel ReLU ...
A U-net trained entirely on synthetic radar images outperforms the operational clutter-filtering method used by Deutscher Wetterdienst on expert-labeled test ...
A ResNeXt101-UNet deep learning model segments ten mineral phases in petrographic thin sections, reaching a weighted F1-score of 0.863 over ...
A validated deep learning framework segments the diaphragm on routine 2D-cine and 3D thoracic MRI in seconds, achieving normalized surface ...
A new U-Net-based framework uses anatomy-guided, spatially varying regularization to reconstruct chest CT images from sparse-view data with improved performance ...
A genetically optimized U-Net framework segments athletes' bodies in video with high accuracy and flags visually abnormal knee, ankle, and ...
An integrated residual encoder-decoder framework achieved Dice scores of 0.9100 for whole tumor and 0.8151 for enhancing tumor segmentation on ...
A self-supervised, distillation-guided AI framework identifies cloud layers in multi-wavelength Raman lidar data and transfers to unseen CARLNET sites without ...
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© 2026 Scienmag - Science Magazine