MRI brain tumor medical images analysis using deep learning techniques: a systematic review

• Main Authors: Al-Galal, Sabaa Ahmed Yahya, Alshaikhli, Imad Fakhri Taha, Abdulrazzaq, Mohammed Muayad,
• Format: Article
• Language: English; English
• Published: Springer Nature 2021
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://irep.iium.edu.my/89220/7/89220_MRI%20brain%20tumor%20medical%20images%20analysis%20using%20deep%20learning%20techniques%20a%20systematic%20review.pdf; http://irep.iium.edu.my/89220/13/89220_MRI%20brain%20tumor%20medical%20images%20analysis%20using%20deep%20learning%20techniques_SCOPUS.pdf; http://irep.iium.edu.my/89220/; https://link.springer.com/content/pdf/10.1007/s12553-020-00514-6.pdf; https://doi.org/10.1007/s12553-020-00514-6
• Institution: Universiti Islam Antarabangsa Malaysia

The substantial progress of medical imaging technology in the last decade makes it challenging for medical experts and radiologists to analyze and classify. Medical images contain massive information that can be used for diagnosis, surgical planning, training, and research. There is, therefore, a ne...