Segmentation and Classification in Radiological Images Using Deep Learning Approaches: A Comprehensive Comparison Study on Carotid Artery and Breast Lesions
Aim: This study aimed to comprehensively compare the performance of different deep learning architectures for automatic segmentation of carotid artery ultrasound images and classification of breast ultrasound images, and to develop clinical decision support systems.Material and Methods: Nine segmentation algorithms (U-...