Improving Efficiency of Brain Tumor Classification Models Using Pruning Techniques.
Journal:
Current medical imaging
Published Date:
Jan 1, 2024
Abstract
BACKGROUND: This research investigates the impact of pruning on reducing the computational complexity of a five-layered Convolutional Neural Network (CNN) designed for classifying MRI brain tumors. The study focuses on enhancing the efficiency of the model by removing less important weights and neurons through pruning.