An Exploration: Deep Learning-Based Hybrid Model for Automated Diagnosis and Classification of Brain Tumor Disorder
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9562-2_23
Reference32 articles.
1. LeCun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521(7553):436–444
2. National brain tumor society, braintumor.org/brain-tumors/about-braintumors/braintumor-facts/. Last accessed 10 July 2023
3. Tandel GS, Biswas M, Kakde OG, Tiwari A, Suri HS, Turk M, Laird JR, Asare CK, Ankrah AA, Khanna N et al (2019) A review on a deep learning perspective in brain cancer classification. Cancers 11(1):111
4. Shah V, Kochar P (2018) Brain cancer: implication to disease, therapeutic strategies and tumor targeted drug delivery approaches. Recent Pat Anti-cancer Drug Discovery 13(1):70–85
5. Ahmed S, Iftekharuddin KM, Vossough A (2011) Efficacy of texture, shape, and intensity feature fusion for posterior-fossa tumor segmentation in MRI. IEEE Trans Inf Technol Biomed 15(2):206–213
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