About this Research Topic
This Research Topic aims to bring discussions on advances in a machine learning or radiomics analysis system for the diagnosis and clinical behavior prediction of liver tumors based on multi-parametric ultrasound, CT, or MRI imaging methods. We welcome submissions of Original Research and Review articles, focusing on but not limited to the following sub-topics:
• Machine learning and radiomics analysis in the preoperative diagnosis of liver tumors
• Radiomics analysis in predicting the outcomes of liver surgery or minimally invasive treatment
• Application of machine learning and AI algorithm during surgical treatment of liver cancers
• Radiogenomics in liver tumors
• Radiomics in the precision medicine research of liver tumors
Keywords: Liver Tumors, Radiological Imaging, Machine Learning, Radiomics, Diagnosis, Prediction
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.