Publisher
Springer Nature Singapore
Reference29 articles.
1. Al-Galal SAY, Alshaikhli IFT, Abdulrazzaq MM (2021) MRI brain tumor medical images analysis using deep learning techniques: a systematic review. Health Technol 11:267–282
2. Rahman ML, Reza AW, Shabuj SI (2022) An internet of things-based automatic brain tumor detection system. Indones J Electr Eng Comput Sci 25:214–222
3. Key Statistics for Brain and Spinal Cord Tumors. Available online: https://www.cancer.org/cancer/brain-spinal-cord-tumors-adults/about/key-statistics.html. Accessed on 20 Sep 2022
4. Ayadi W, Elhamzi W, Charfi I, Atri M (2021) Deep CNN for brain tumor classification. Neural Process Lett 53:671–700
5. Liu J, Li M, Wang J, Wu F, Liu T, Pan Y (2014) A survey of MRI-based brain tumor segmentation methods. Tsinghua Sci Technol 19:578–595
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