Efficiently Using Deep Learning to Distinguish Early-Stage Hepatocellular Carcinoma (HCC) from non-HCC Based on Multi-Phase CT and Image Enhancement

This study uses image enhancement methods to analyze liver nodule progression and radiological features in liver cancer development. A detection strategy has been developed from CT image characteristics for early identification of liver cancer. The study also explores how the size of nodules influences detection accuracy and classification between benign and malignant types, which is vital for refining detection algorithms and improving diagnostic precision.