Radiomics models for preoperative prediction of the histopathological grade of hepatocellular carcinoma: A systematic review and radiomics quality score assessment
Qiang Wang(Artificial Intelligence in Medicine (Canada)), Torkel B. Brismar(Karolinska University Hospital), Xiaojun Hu(Leidos (United States)), Xueyun Wu(Zhujiang Hospital), Per Stål(Karolinska University Hospital), Anrong Wang(People's Hospital of Kaizhou District), Yingfang Fan(Harvard University), Guojie Bai(Tianjin Beichen Hospital)
Cited by 13
Related Papers
Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update
|Radiology Artificial Intelligence|2024|406
Treatment of NAFLD with intermittent calorie restriction or low-carb high-fat diet – a randomised controlled trial
|JHEP Reports|2021|220
Genome analysis of three Pneumocystis species reveals adaptation mechanisms to life exclusively in mammalian hosts
|Nature Communications|2016|202
Sarcopenic obesity: A probable risk factor for dose limiting toxicity during neo-adjuvant chemotherapy in oesophageal cancer patients
|Clinical Nutrition|2015|179
Deterioration of compressive property of concrete under simulated acid rain environment
|Construction and Building Materials|2010|144