Article

A multicenter Swedish histopathology image dataset of pediatric central nervous system tumors

2026-06-16

Abstract excerpt

<h4> A bstract </h4> Refined detection methods, more detailed tumor characterization, and adequate distinction between different pediatric tumor subtypes are necessary to improve diagnosis and treatment, enable precision medicine, and advance patient prognosis. However, the application of computational approaches to pediatric brain tumors remains limited, largely due to the lack of accessible datasets. To addre...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 831c8110-5120-5606-bbd4-dbaff7adeaa6
DOI: 10.64898/2026.06.15.26355523

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A multicenter Swedish histopathology image dataset of pediatric central nervous system tumorsDOI 10.64898/2026.06.15.26355523Read

The Swedish Childhood Tumor Biobank: Systematic collection and molecular characterization of all pediatric CNS and other solid tumors in SwedenSemantic proximity Read

Pediatric High Grade Glioma Resources From the Children’s Brain Tumor Tissue Consortium (CBTTC) and Pediatric Brain Tumor Atlas (PBTA)Semantic proximity Read

Integrated genetic profiling of archival pediatric high-grade glial tumors and reassessment with 2021 WHO classification of paediatric CNS tumours.Semantic proximity Read

[Pay attention to molecular pathological diagnosis of pediatric glioma].Semantic proximity Read

Multiomic neuropathology improves diagnostic accuracy in pediatric neuro-oncology.Semantic proximity Read

OpenPBTA: An Open Pediatric Brain Tumor AtlasSemantic proximity Read

Diagnostic impact of DNA methylation classification in adult and pediatric CNS tumorsSemantic proximity Read

The Children’s Brain Tumor Network (CBTN) - Accelerating Research in Pediatric Central Nervous System Tumors through Collaboration and Open ScienceSemantic proximity Read

Spatially resolved transcriptomics and graph-based deep learning improve accuracy of routine CNS tumor diagnosticsSemantic proximity Read

Multicenter Histology Image Integration and Multiscale Deep Learning for Machine Learning-Enabled Pediatric Sarcoma ClassificationSemantic proximity Read

A living pediatric brain tumor atlas reveals histomolecular diversity and therapeutic vulnerabilities for precision neuro-oncologySemantic proximity Read

Molecular neuropathology: an essential and evolving toolbox for the diagnosis and clinical management of central nervous system tumors.Semantic proximity Read