The accurate and automatic segmentation of brain tumors from magnetic resonance imaging is regarded as essential for clinical diagnosis and surgical planning. Nevertheless, the concurrent extraction of both local fine details and global contextual cues remains challenging, primarily due to ambiguous tumor margins a...
Xiao-Shuai Cao, Xi-Ge Song, Jin-Can Zhang et al.· Frontiers in Neuroscience· 0 citations
An advanced modularized Convolutional Neural Network that incorporates ConvDAtt block, Complementary Information (CI) downsampling block, and Spatial Pyramid Pooling (SPP) block is introduced that can effectively extract the information features and discriminant features of brain tumor MRI images.
Jin-Can Zhang, Chuan-Qi Cai, Xing-Hua Tan et al.· PLoS ONE· 0 citations
NEMPI is interpreted as an abundance-based, neuroimmune-enriched, multibiofluid proteomic composite associated with broad cognitive-motor progression, not as a patient-level prediction tool, clinical threshold, cognition-specific biomarker, or causal mechanism.
Hao Wang, Guo-Qing Wu, D. Zhang et al.· Frontiers in Immunology· 0 citations
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