The invention discloses a
curative effect prediction method for a
hepatocellular carcinoma patient receiving TACE combined target
immunotherapy, and relates to the field of medical
data processing, and the method comprises the steps: inputting
energy spectrum CT data and
perfusion CT data into a first
deep learning model, predicting a first
curative effect prediction result of the target
hepatocellular carcinoma patient receiving the TACE combined target
immunotherapy through the first
deep learning model; inputting the image data into a second
deep learning model, and predicting a second
curative effect prediction result of the target
hepatocellular carcinoma patient receiving the TACE combined target
immunotherapy through the second deep learning model; inputting the clinical examination data into a third deep learning model, and predicting a third curative effect prediction result of the target hepatocellular
carcinoma patient receiving the TACE combined target immunotherapy through the third deep learning model; and performing cross-
modal fusion on the first curative effect prediction result, the second curative effect prediction result and the third curative effect prediction result to obtain a target curative effect prediction result of the target hepatocellular
carcinoma patient receiving the TACE combined target immunotherapy.