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MRI Image Analysis with Deep Learning Methods in Brain Tumor Diagnosis

  • Published:2022 Issue: Volume: Page:35-42
  • ISSN:2195-4356
  • Container-title:Lecture Notes in Mechanical Engineering
  • language:
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Author:

Kırelli Yasin,Arslankaya Seher,Alcan Pelin

Publisher

Springer Singapore

Reference17 articles.

1. Sangeetha R, Mohanarathinam A, Aravindh G, Jayachitra S, Bhuvaneswari M (2020) Automatic detection of brain tumor using deep learning algorithms. In: Proceedings of 2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India, pp 1–4. https://doi.org/10.1109/ICECA49313.2020.9297536

2. Santos J, Santos dos HDP, Vieira R (2020) Fall detection in clinical notes using language models and token classifier. In: Proceedings of 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS) Rochester, MN, USA, pp 283–288. https://doi.org/10.1109/CBMS49503.2020.00060

3. Sufri NAJ, Rahmad NA, Ghazali NF, Shahar N, As’ari MA (2019) Vision based system for banknote recognition using different machine learning and deep learning approach. In: Proceedings of 2019 IEEE 10th Control and System Graduate Research Colloquium (ICSGRC) Shah Alam, Malaysia, pp 5–8. https://doi.org/10.1109/ICSGRC.2019.8837068

4. El kaitouni SEI, Tairi H (2020) Segmentation of medical images for the extraction of brain tumors: a comparative study between the Hidden Markov and deep learning approaches. In: Proceedings of 2020 International Conference on Intelligent Systems and Computer Vision (ISCV), Fez, Morocco, pp 1–5. https://doi.org/10.1109/ISCV49265.2020.9204319

5. Ramírez I, Martín A, Schiavi E (2018) Optimization of a variational model using deep learning: an application to brain tumor segmentation. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) Washington, DC, USA, pp 631–634. https://doi.org/10.1109/ISBI.2018.8363654

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