Comparison and Ensemble Transfer Learning for Breast Cancer Classification in Ultrasound Images Using EfficientNet-B0, ResNet-50, and VGG-16
Purpose: This study aims to compare three transfer learning architectures and develop an ensemble learning approach for breast cancer classification in ultrasound images. The objective of this study is to compare the three transfer learning architectures and evaluate an ensemble learning approach to determine the best...