AG-MSTLN-EL: A Multi-source Transfer Learning Approach to Brain Tumor Detection
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10278-024-01199-3.pdf
Reference31 articles.
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2. Mehnatkesh H, Jalali SMJ, Khosravi A, Nahavandi S: An intelligent driven deep residual learning framework for brain tumor classification using MRI images. Expert Systems with Applications 213:119087, 2023.
3. Tandel GS, Tiwari A, Kakde OG, Gupta N, Saba L, Suri JS: Role of Ensemble Deep Learning for Brain Tumor Classification in Multiple Magnetic Resonance Imaging Sequence Data. Diagnostics 13(3):481, 2023.
4. Nanda A, Barik RC, Bakshi S: SSO-RBNN driven brain tumor classification with Saliency-K-means segmentation technique. Biomedical Signal Processing and Control 81:104356, 2023.
5. Hossain A, Islam MT, Abdul Rahim SK, Rahman MA, Rahman T, Arshad H, Khandakar A, Ayari MA, Chowdhury ME: A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor Classification Using Reconstructed Microwave Brain (RMB) Images. Biosensors 13(2):238, 2023.
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