An automated and risk free WHO grading of glioma from MRI images using CNN
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-13415-9.pdf
Reference27 articles.
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3. Chen Q et al (2019) Glioma grade predictions using scattering wavelet transform-based radiomics. arXiv preprint arXiv:1905.09589
4. Chen Q et al (2020) Glioma grade prediction using wavelet scattering-based radiomics. IEEE Access 8:106564–106575
5. Ertosun MG, Rubin DL (2015) Automated grading of gliomas using deep learning in digital pathology images: A modular approach with ensemble of convolutional neural networks. In: AMIA Annual Symposium Proceedings. American Medical Informatics Association
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