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Conference Aug 2026

Focus-UNet: Deep-stage Decomposition and Context Gating for Medical Image Segmentation

Accurate segmentation of tumors and lesions in brain magnetic resonance imaging (MRI) is of great importance for clinical diagnosis, surgical planning, and prognosis assessment. However, brain lesions often exhibit substantial variations in size, irregular shapes, and blurred boundaries. Traditional U-Net relies on a b...

Shuo Wang, Bo Peng, Ze-Hua Peng · 0 citations
Open access Sep 2026

MRI-based radiomics model for predicting symptomatic hemorrhage in cerebral cavernous malformations: a two-center study

Predicting hemorrhage in cerebral cavernous malformations (CCM) supports clinical decisions by preventing the risk of fatal or disabling outcomes. This study developed models to predict symptomatic hemorrhage using radiomics features. A total of 153 non-hemorrhagic lesions from the TOUCH cohort (NCT03467295) were...

Qi-Xuan Li, Yang Liu, Jia-Jun Hu et al. · 0 citations

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