CT Image Segmentation Method of Liver Tumor Based on Artificial Intelligence Enabled Medical Imaging

Table 1

Artificial intelligence practices in clinical investigation of liver diseases.

Sr. no.	Technique	Task	Performance metrics	Reference
1	Deep learning method	Detection of fatty liver anomalies	Accuracy, sensitivity, and specificity	[17]
2	Deep learning method	Differentiation and detection of various focal liver lesions	Accuracy, sensitivity, and specificity	[18]
3	Deep learning method	Estimation of liver steatosis	Accuracy, sensitivity, and specificity	[19]
4	Shear wave elastography-based machine learning method	Classification of chronical liver diseases	Accuracy, sensitivity, and specificity	[20]
5	Deep correlation-based analysis using multiple kernel learning	Liver tumor discrimination	Accuracy, sensitivity, and specificity	[21]
6	Magnetic resonance imaging-based machine learning	Treatment response prediction for chronical liver diseases	Accuracy, sensitivity, and specificity	[22]