Combining Transfer Learning with CNNs and Machine Learning Algorithms for Improved Brain Tumor Classification from MRI
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48573-2_56
Reference11 articles.
1. Brain Tumors—Classifications, Symptoms, Diagnosis and Treatments [Internet]. Cited 8 July 2023. Available from: https://www.aans.org/
2. Cè, M., Irmici, G., Foschini, C., Danesini, G.M., Falsitta, L.V., Serio, M.L., et al.: Artificial intelligence in brain tumor imaging: a step toward personalized medicine. Curr. Oncol. 30(3), 2673–2701 (2023)
3. Ranjbarzadeh, R., Caputo, A., Tirkolaee, E.B., Jafarzadeh Ghoushchi, S., Bendechache, M.: Brain tumor segmentation of MRI images: a comprehensive review on the application of artificial intelligence tools. Comput. Biol. Med. 1(152), 106405 (2023)
4. Tiwari, A., Srivastava, S., Pant, M.: Brain tumor segmentation and classification from magnetic resonance images: review of selected methods from 2014 to 2019. Pattern Recogn. Lett. 1(131), 244–260 (2020)
5. Jyothi, P., Singh, A.R.: Deep learning models and traditional automated techniques for brain tumor segmentation in MRI: a review. Artif. Intell. Rev. 56(4), 2923–2969 (2023)
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