Multimodal Imaging under Artificial Intelligence Algorithm for the Diagnosis of Liver Cancer and Its Relationship with Expressions of EZH2 and p57

<div>Multimodal ultrasound characteristics of different pathological grades. (A-shape, B-boundary, C-internal echo, D-posterior echo, E-blood flow grading, F-ultrasound elastic score, G-enhancement mode, FFFO-fast in and fast out, and FFNO-fast in and no out).</div>

Computational Intelligence and Neuroscience

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Figure 7: Multimodal Imaging under Artificial Intelligence Algorithm for the Diagnosis of Liver Cancer and Its Relationship with Expressions of EZH2 and p57 

Figure 7 | Multimodal Imaging under Artificial Intelligence Algorithm for the Diagnosis of Liver Cancer and Its Relationship with Expressions of EZH2 and p57 