Pediatric brain tumor classification using deep learning on MR images with age fusion
Classification of PBT on MR images could be accomplished using deep learning, with the top-performing model being trained on ADC data, which radiologists use for the clinical classification of these tumors.
Authors
- Peter Lundberg (ORCID: https://orcid.org/0000-0001-8661-2232)
- Iulian Emil Tampu (ORCID: https://orcid.org/0000-0002-7582-1706)
- Per Olof Nyman (ORCID: https://orcid.org/0000-0001-8921-431X)
- Ida Blystad (ORCID: https://orcid.org/0000-0002-8857-5698)
- Anders Eklund (ORCID: https://orcid.org/0000-0001-7061-7995)
- Neda Haj‐Hosseini (ORCID: https://orcid.org/0000-0002-0555-8877)
- Tamara Bianchessi (ORCID: https://orcid.org/0000-0001-9709-803X)
Institutions
- Linköping University (SE)
- Engineering Link (Canada) (CA)
Publication Details
- Journal
- Neuro-Oncology Advances
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1093/noajnl/vdae205
- Citations
- 11
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.82
Funders
- Region Östergötland
- Linköpings Universitet
- Barncancerfonden