Abstract: A computer-implemented system (CIS), based on the DenseNet model, for processing and/or analyzing computer tomography (CT) medical imaging input data is described. The CIS contains two or more dense blocks containing one or more modules. Within each dense block, output from preceding modules containing convolutional layers are transmitted to succeeding modules containing convolutional layers, via a gate that is controlled by a predefined or trainable threshold. The CIS also includes transition layers between the dense blocks, operably linked to pairs of consecutive dense blocks in the series configuration. The CIS can be used in a computer-implemented method for enhanced diagnoses of hepatocellular carcinoma, based analysis of one or more CT medical images.