A Deep Learning-Based Framework for Automatic Brain Tumors Classification Using Transfer Learning

• Published in: Circuits, systems, and signal processing Vol. 39; no. 2; pp. 757 - 775
• Main Authors: Rehman, Arshia, Naz, Saeeda, Razzak, Muhammad Imran, Akram, Faiza, Imran, Muhammad
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.02.2020; Springer Nature B.V
• Subjects: Artificial neural networks; Brain; Brain cancer; Circuits and Systems; Classification; Datasets; Deep learning; Electrical Engineering; Electronics and Microelectronics; Engineering; Feature extraction; Glioma; Instrumentation; Life expectancy; Machine learning; Neural networks; Signal,Image and Speech Processing; Tumors; Brain tumor; Deep learning; Transfer learning; GoogLeNet; VGG; AlexNet; Figshare dataset
• ISSN: 0278-081X; 1531-5878
• DOI: 10.1007/s00034-019-01246-3

Brain tumors are the most destructive disease, leading to a very short life expectancy in their highest grade. The misdiagnosis of brain tumors will result in wrong medical intercession and reduce chance of survival of patients. The accurate diagnosis of brain tumor is a key point to make a proper t...