Deep learning –based algorithm to detect primary hepatic malignancy in multiphase CT of patients at high risk for HCC

ConclusionsThe proposed deep learning –based model developed to automatically detect primary hepatic malignancies exhibited an 84.8% of sensitivity with 4.80 false-positives per CT scan in the test set.Key Points• Image processing, including multichannel integration of multiphase CT and automatic liver segmentation, enabled the application of a deep learning–based model to detect primary hepatic malignancy.• Our model exhibited a sensitivity of 84.8% with a false-positive rate of 4.80 per CT scan.
Source: European Radiology - Category: Radiology Source Type: research