Multiclass classification of brain tumors using a novel CNN architecture
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/s11042-022-12977-y.pdf
Reference43 articles.
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3. Afshar P, Plataniotis KN, Mohammadi A (2019) Capsule networks for brain tumor classification based on mri images and coarse tumor boundaries. In: Proc IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, United Kingdom, pp 1368–1372
4. Albawi S, Mohammed TA, Al-Zawi S (2017) Understanding of a convolutional neural network. In: Proc IEEE International Conference on Engineering and Technology (ICET), Antalya, Turkey, pp 1–6
5. Anitha R, Siva Sundhara Raja D (2017) Development of computer-aided approach for brain tumor detection using random forest classifier. Int J Imaging Syst Technol 28(1):48–53
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