A Multi-Scale Residual Learning-Based Sequential Model for Hepatocellular Carcinoma Detection
An efficient HCC diagnosis model called MS-ResNet is designed by combining the proficiencies of deep learning and CT imaging in its process to detect HCC, but unlike other approaches, the new method can take advantage of multi-scale features to improve the overall efficiency of the diagnostic framework with the DL tech...