Smart brain tumor diagnosis system utilizing deep convolutional neural networks

• Published in: Multimedia tools and applications Vol. 82; no. 28; pp. 44527 - 44553
• Main Author: Anagun, Yildiray
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.11.2023; Springer Nature B.V
• Subjects: Artificial neural networks; Brain; Brain cancer; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Diagnosis; Machine learning; Magnetic resonance imaging; Medical imaging; Multimedia Information Systems; Neural networks; Optimization; Performance measurement; Special Purpose and Application-Based Systems; Track 2: Medical Applications of Multimedia; Tumors; CNN; Diagnosis; MRI; Brain Tumor; Deep Learning; Classification

The early diagnosis of cancer is crucial to provide prompt and adequate management of the diseases. Imaging tests, in particular magnetic resonance imaging (MRI), are the first preferred method for diagnosis. However, these tests have some limitations which can cause a delay in detection and diagnos...