Deep learning-based segmentation, grading and genotype classification of glioma: a literature analysis
Weihan Song, Yuan Hu, Yi Wang, Jian Ruan, Bo Lin, Weibin Yang · 2026
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Description
Song and co-authors review how computer learning tools are used on scans of glioma, a common and deadly brain tumor in adults. Doctors today judge the tumor from tissue taken in surgery. The tools aim to read the same facts from scans alone, without a cut.
The team searched three large databases for studies in English from 2014 to 2025. They sorted work on three tasks: drawing the tumor's edge, grading how severe it is, and guessing its gene type. For each task, they weigh how well the tools perform and where they fall short. The review gives readers a map of a fast-moving field. It also marks what these tools still need before clinics can rely on them.
Catalog record
| CREATOR | Weihan Song, Yuan Hu, Yi Wang, Jian Ruan, Bo Lin, Weibin Yang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 125 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |