Vishesh Tanwar

Transfer Learning Models for Automated Bone Age Prediction: Evaluating Efficiency and Clinical Applicability

2024

Bone age assessment is critical in pediatric healthcare for diagnosing growth disorders and planning treatments. Traditional methods, like the Tanner-Whitehouse and Greulich-Pyle techniques, are manual, subjective, and time-consuming. Recent advancements in deep learning, particularly convolutional …