Research Progress of Deep Learning in Diagnosis, Treatment and Prognosis Assessment of Hepatocellular Carcinoma
DOI:
https://doi.org/10.54097/18qm3f54Keywords:
Hepatocellular Carcinoma, Deep Learning, Convolutional Beutral Network, Microvascular Invasion, Transhepatic Arterial Chem Otherapy and EmbolizationAbstract
Hepatic carcinoma (HCC) is a common malignant tumor in the abdominal system in China. Due to its high degree of malignancy, poor prognosis and easy recurrence, there are many therapeutic programs available, but the results are not satisfactory. The use of deep learning (DL) for diagnosis, treatment and prognosis assessment of HCC patients has become a hot topic at present. Therefore, this paper reviews the application of DL in early diagnosis, microvascular infiltration, pathological grading and postoperative evaluation of HCC.
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