Enhancing Automatic Classification of Hepatocellular Carcinoma Images through Image Masking, Tissue Changes, and Trabecular Features

Development of a Prototype for Hepatocellular Carcinoma Classification Based on Morphological Features Automatically Measured in Whole Slide Images

“…Then, morphological features, such as nuclear and structural atypia level, are extracted and measured from each ROI image in parallel [ 1 , 2 ]. In addition, the system predicts the HCC [ 3 , 4 ]. Every feature measurement module outputs multiple and/or single feature values in the same format.…”