Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound - Liu, Dan; Liu, Fei; Xie, Xiaoyan; Su, Liya; Liu, Ming; Xie, Xiaohua; Kuang, Ming; Huang, Guangliang; Wang, Yuqi; Zhou, Hui; Wang, Kun; Lin, Manxia; et al. (European radiology, 2020)
Keywords: Adolescent; Adult; Aged; Aged, 80 and over; Artificial Intelligence; Carcinoma, Hepatocellular - diagnosis; Carcinoma, Hepatocellular - therapy; Chemoembolization; Chemoembolization, Therapeutic - methods; Clinical medicine; Computer simulation; Computers; Contrast Media - pharmacology; Deep learning; Diagnostic Radiology; Female; Hepatocellular carcinoma; Humans; Imaging; Imaging Informatics and Artificial Intelligence; Internal Medicine; Interventional Radiology; Learning algorithms; Liver cancer; Liver Neoplasms - diagnosis; Liver Neoplasms - therapy; Machine learning; Male; Medicine; Medicine & Public Health; Middle Aged; Neuroradiology; Patients; Predictions; Radiology; Radiomics; Retrospective Studies; ROC Curve; Solid tumors; Three dimensional models; Training; Ultrasonic imaging; Ultrasonic testing; Ultrasonography - methods; Ultrasound; Young Adult; Deep learning; Therapeutic chemoembolization; Hepatocellular carcinoma; Ultrasonography