T2-Flair model training process using all data.

<div><p>The mutation status of isocitrate dehydrogenase1 (IDH1) in glioma is critical information for the diagnosis, treatment, and prognosis. Accurately determining such information from MRI data has emerged as a significant research challenge in recent years. Existing techniques for th...

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Bibliographic Details
Main Author:	Fengning Liang (20927493) (author)
Other Authors:	Yaru Cao (16703550) (author), Teng Zhao (1486717) (author), Qian Xu (119888) (author), Hong Zhu (109912) (author)
Published:	2025
Subjects:	Biochemistry Cell Biology Biotechnology Cancer Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified significant research challenge problem often suffer medical imaging analysis experimental results suggest semisupervised classification model model adopts u preoperative mri dataset 316 glioma patients glioma imaging data rough set algorithm mri data model uses rough sets label data data waste xlink "> various limitations recent years mutation status isocitrate dehydrogenase1 insufficient datasets existing techniques effectively improve construct ucnet common issue accurately determining 63 %.
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T2-Flair model training process using all data.

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