Brain Tumor Detection using Deep CNNs and Ensemble Algorithms over MRI Images
Abstract
Keywords
References
- Bauer, E., and Kohavi, R., 1998. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants. Machine Learning, 1-38.
- Bishop, C., 2010. Neural Networks for Pattern Recognition, Oxford University Press.
- Bishop, C.M., 1995. Neural Network for Pattern Recognition, Microsoft Research Cambridge.
- Bishop, C.M., 2006. Pattern Recognition and Machine Learning, Springer.
- Breiman, L., 1996. Bagging Predictors, Vol. 24, Kluwer Academic Publishers.
- Dong, Y., Zhang, H., Wang, C., and Wang, Y., 2019. Fine-Grained Ship Classification based on Deep Residual Learning for High-Resolution SAR Images, Remote Sens. Lett., 10 (11), 1095-1104.
- Efron, Bradley., & Tibshirani, Robert. (1994). An introduction to the bootstrap. Chapman & Hall.
- Gao, H., Zhuang, L., Laurens, van der M., and Kilian Q.W., 2018. Densely Connected Convolutional Networks, Computer Science > Computer Vision and Pattern Recognition, arXiv:1608.06993v5 , https://doi.org/10.48550/arXiv.1608.06993
Details
Primary Language
English
Subjects
Deep Learning, Machine Learning (Other)
Journal Section
Research Article
Authors
Ezgi Özer
*
0000-0003-1567-2216
Türkiye
Early Pub Date
December 24, 2024
Publication Date
December 25, 2024
Submission Date
March 20, 2024
Acceptance Date
August 6, 2024
Published in Issue
Year 2024 Volume: 9 Number: Issue: 2
Cited By
A Novel Brain Tumor Detection Approach: Integrating Deep Learning and Support Vector Machines
Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi
https://doi.org/10.21205/deufmd.2026288220
is applied to all research papers published by JCS and 