Brain tumors classification using deep models and transfer learning

Author:

Mavaddati SamiraORCID

Publisher

Springer Science and Business Media LLC

Reference64 articles.

1. Akil M, Saouli R, Kachouri R (2020) Fully automatic brain tumor segmentation with deep learning-based selective attention using overlapping patches and multi-class weighted cross-entropy. Med Image Anal 63:101692

2. Komninos J, Vlassopoulou V, Protopapa D et al (2004) Tumors metastatic to the pituitary gland: case report and literature review. J Clin Endocrinol Metab 89(2):574–580

3. Habib H, Amin R, Ahmed B, Hannan A (2021) Hybrid algorithms for brain tumor segmentation, classification and feature extraction. J Ambient Intell Humanized Comput 119:1–22

4. Ullah MN, Park Y, Kim GB et al (2021) Simultaneous acquisition of ultrasound and gamma signals with a single channel readout. Sensors 21(4):1048

5. Akinyelu AA, Zaccagna F, Grist JT, Castelli M, Rundo L (2022) Brain tumor diagnosis using machine learning, convolutional neural networks, capsule neural networks and vision transformers. Appl MRI Surv J Imaging 8:1–40

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