An Analysis of Brain Tumor Segmentation and Classification Techniques of Deep Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0700-3_51
Reference21 articles.
1. Wu P, Chang Q (200) Brain tumor segmentation on multimodal 3D-MRI using deep learning method. In: Proceedings—2020 13th international congress on image and signal processing, biomedical engineering and informatics, CISP-BMEI 2020, pp 635–639. https://doi.org/10.1109/CISP-BMEI51763.2020.9263614
2. Swati ZNK et al (2019) Content-based brain tumor retrieval for MR images using transfer learning. IEEE Access 7:17809–17822. https://doi.org/10.1109/ACCESS.2019.2892455
3. Lad SS, Chougule SR (2013) CBIR based brain tumor detection. Int J Eng Res Technol (IJERT) 2 (3), ISSN: 2278–0181
4. Saraswat A, Sharma N (2022) Bypassing confines of feature extraction in brain tumor retrieval via MR images by CBIR. ECS Trans 107(1):3675–3682. https://doi.org/10.1149/10701.3675ecst
5. Jiang M, Zhang S, Li H, Metaxas DN (2015) Computer-aided diagnosis of mammographic masses using scalable image retrieval. IEEE Trans Biomed Eng 62(2):783–792. https://doi.org/10.1109/TBME.2014.2365494
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