Interpretable machine learning based on CT-derived extracellular volume fraction to predict pathological grading of hepatocellular carcinoma
Jie Li, Linxuan Zou, Heng Ma, Jifu Zhao, Chengyan Wang, Jun Li, Guangchao Hu, Haoran Yang, Beizhong Wang, Donghao Xu, Yuanhao Xia, Yi Jiang, Xingyue Jiang, LI Nai-xuan
Topics & Concepts
Receiver operating characteristicMedicineLogistic regressionAdaBoostArtificial intelligenceRandom forestGrading (engineering)Gradient boostingTest setHepatologyHepatocellular carcinomaPredictive value of testsArea under the curveMachine learningInternal medicineRadiologySupport vector machineComputer scienceEngineeringCivil engineeringHepatocellular Carcinoma Treatment and PrognosisRadiomics and Machine Learning in Medical ImagingAI in cancer detection