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Open access Aug 2026

Spatial pattern-driven interpretable model and biological correlates in brain glioblastoma-lymphoma differentiation

Summary Glioblastoma (GBM) and primary central nervous system lymphoma (PCNSL) often exhibit overlapping appearances on routine MRI, complicating pre-treatment diagnosis. In 1,109 patients from five centers, we constructed standard-space tumor probabilistic maps and derived atlas-anchored spatial features to augment co...

Yi Wang, Haohui Chen, Kai-Yan Su et al. · 0 citations
Open access Sep 2026

Deep Learning Pipeline for Automatic Segmentation, Classification, and Molecular Subtyping of Three Pediatric Posterior Fossa Tumors Using T2-Weighted MRI.

BACKGROUND Pediatric posterior fossa tumors vary in malignancy, treatment, and prognosis across tumor types and molecular subtypes, yet noninvasive preoperative differentiation remains challenging. PURPOSE To develop a deep learning (DL) pipeline using T2-weighted (T2w) MR images to automatically segment pediatric po...

Ying Jin, Yang-Yang Li, Ren-Long Zhang et al. · 0 citations

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