S. Kalaivani

Frequency response compensation to optimize pretrained deep learning models in lung nodule malignancy classification

Purpose Accurate differentiation of benign and malignant pulmonary nodules on computed tomography (CT) is important for early lung-cancer assessment. However, classification remains challenging because benign and malignant nodules may exhibit subtle differences in texture, margin irregularity, boundary sharpness, and i...