Multi-scale feature fusion for prediction of IDH1 mutations in glioma histopathological images-Reference-Cited by-同舟云学术

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Multi-scale feature fusion for prediction of IDH1 mutations in glioma histopathological images

Published:2024-05 Issue: Volume:248 Page:108116
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Liu Xiang^ORCID,Hu Wanming^ORCID,Diao Songhui^ORCID,Abera Deboch Eyob^ORCID,Racoceanu Daniel,Qin Wenjian

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference35 articles.

1. 3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework[J];Guan;BMC Med. Imaging,2022

2. Metabolism in the progression and metastasis of brain tumors[J];Tyagi;Cancer Lett.,2022

3. Liquid biopsy: creating opportunities in brain space[J];Trivedi;Br. J. Cancer,2023

4. Densmore I., McGranahan T. Assessing the impact of adjuvant temozolomide duration on survival in patients with IDH-mutant low-grade gliomas (P6-9.001)[J]. 2022.

5. The 2016 world health organization classification of tumors of the central nervous system: a summary;Louis;Acta Neuropathol.,2016

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