Predicting isocitrate dehydrogenase status in glioma using hierarchical attention-based deep 3D multiple instance learning
Qinqin Xie, Yongheng Sun, Yuxia Liang, Yu Shang, Haifeng Wang, Fan Wang, Rong Wei, Bin Chen, Ming Zhang, Chen Niu · 2025
Read Predicting isocitrate dehydrogenase status in glioma using hierarchical attention-based deep 3D multiple instance learning by Qinqin Xie, Yongheng Sun, Yuxia Liang, Yu Shang, Haifeng Wang, Fan Wang, Rong Wei, Bin Chen, Ming Zhang, Chen Niu (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12756022.txt.
Description
Qinqin Xie and co-authors wrote a 2025 paper on reading a tumor gene from brain scans instead of surgery. Gliomas are tumors of the brain's support tissue. One gene, called IDH, splits them into types with different outlooks and treatment paths. Today that gene is checked from tissue taken in an operation.
The team built a deep learning system that studies MRI scans in three dimensions and weighs the most telling regions. It trained on scans from three hundred forty-five patients at one hospital plus a public set of nearly five hundred more. If scan-based checks prove reliable, doctors could plan treatment sooner and spare some patients an early biopsy. The paper reports how well the system sorted the two gene types.
Catalog record
| CREATOR | Qinqin Xie, Yongheng Sun, Yuxia Liang, Yu Shang, Haifeng Wang, Fan Wang, Rong Wei, Bin Chen, Ming Zhang, Chen Niu |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 43 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |