A multi-sequences MRI deep framework study applied to glioma classfication

Author:

Coupet Matthieu,Urruty Thierry,Leelanupab TeerapongORCID,Naudin Mathieu,Bourdon Pascal,Maloigne Christine Fernandez,Guillevin Rémy

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology;Cancers;2024-01-10

2. Diagnostic and Therapeutic Issues in Glioma Using Imaging Data: The Challenge of Numerical Twinning;Journal of Clinical Medicine;2023-12-15

3. A scoping review of interpretability and explainability concerning artificial intelligence methods in medical imaging;European Journal of Radiology;2023-12

4. Medical Artificial Intelligence Research Landscape in Thailand: A Bibliometric Analysis;2023 18th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP);2023-11-27

5. Deep Neural Networks for the Qualitative Analysis of Myocardial Perfusion Emission Computed Tomography Images;2023 15th International Conference on Information Technology and Electrical Engineering (ICITEE);2023-10-26

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