A Hybrid CNN-LSTM Network For Brain Tumor Classification Using Transfer Learning

• Published in: 2023 9th International Conference on Smart Computing and Communications (ICSCC) pp. 77 - 82
• Main Authors: Rajeev, S K, Rajasekaran, M. Pallikonda, Ramaraj, Kottaimalai, Vishnuvarthanan, G., Arunprasath, T., Muneeswaran, V.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 17.08.2023
• Subjects: Analytical models; Brain modeling; Brain Tumor; Convolution Neural Network (CNN); Convolutional neural networks; Deep learning; Feature extraction; Long Short Term Memory (LSTM); Magnetic resonance imaging; Magnetic Resonance Imaging (MRI); Stochastic Gradient Descent Optimisation (SGDO); Transfer learning

Brain tumor analysis is a major area in medical imaging that necessitates precise and efficient techniques for early detection and diagnosis. Magnetic resonance imaging (MRI) is a popular diagnostic method for detecting and characterizing brain tumors. However, the accurate and reliable analysis of...