R-JaunLab: Automatic Multi-Class Recognition of Jaundice on Photos of Subjects with Region Annotation Networks - Wang, Zheng; Xiao, Ying; Weng, Futian; Li, Xiaojun; Zhu, Danhua; Lu, Fanggen; Liu, Xiaowei; Hou, Muzhou; Meng, Yu (Journal of digital imaging, 2021)
Keywords: Algorithms; Annotations; Artificial intelligence; Artificial neural networks; Bilirubin; Clinical medicine; Comparative studies; Digital imaging; Gallbladder; Gastroenterology; Globalization; Hepatitis; Hepatology; Hospitals; Humans; Imaging; Jaundice; Liver cancer; Localization; Medicine; Medicine & Public Health; Neural networks; Neural Networks, Computer; Original Paper; Pancreas; Pancreatic cancer; Physicians; Radiology; Recognition; Smartphones; Convolutional Neural Network; ); Region Annotation Network; Occult Jaundice; Total Serum Bilirubin; Region Annotation Network (RAN); Total Serum Bilirubin (TBil); Convolutional Neural Network (CNN)