TumorAwareNet: Deep representation learning with attention based sparse convolutional denoising autoencoder for brain tumor recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15557-w.pdf
Reference50 articles.
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3. Anaraki AK, Ayati M, Kazemi F (2019) Magnetic resonance imaging-based brain tumor grades classification and grading via convolutional neural networks and genetic algorithms. Biocybern Biomed Eng 39(1):63–74
4. Arakeri MP, Reddy GRM (2015) Computer-aided diagnosis system for tissue characterization of brain tumor on magnetic resonance images. SIViP 9 (2):409–425
5. Asif S, Yi W, Ain QU, Hou J, Yi T, Si J (2022) Improving effectiveness of different deep transfer learning-based models for detecting brain tumors from mr images. IEEE Access 10:34716–34730
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