Radiomics and Multiomics Research
摘要
Medical imaging is a non-invasive diagnostic method that is commonly used in clinical practice, and its role has gradually evolved from a major diagnostic tool to an important means to assist doctors in personalized and precise treatment. At present, clinicians rely on subjective experience to make diagnoses based on qualitative signs such as the size, shape, location, and density of lesions in images. However, the number of these qualitative signs is limited, and it is difficult to fully reflect the characteristics of a patient’s disease in these images. With the development of artificial intelligence and the increase in medical imaging data, medical image analysis research has grown [1].