A MULTIMODAL DEEP LEARNING FRAMEWORK FOR IMPROVING THE CLINICAL RELIABILITY OF ULTRASOUND-BASED LIVER STEATOSIS ASSESSMENT
Objectives: This study aims to examine the limitations of existing deep learning approaches in ultrasound-based liver steatosis evaluation and to develop a framework that enhances clinical reliability and real-world applicability. Methodology: A structured pipeline is proposed that integrates diverse data acquisition,...