Deep learning for liver tumor diagnosis part II: convolutional neural network interpretation using radiologic imaging features

[11] Summers RM(2014)Repeatability of diagnostic features and scoring systems for hepatocellular carcinoma by using MR imaging Radiology 272 132-383

[12] Olden JD(2016)Rate of observation and inter-observer agreement for LI-RADS major features at CT and MRI in 184 pathology proven hepatocellular carcinomas Abdom Radiol (NY) 41 963-185

[13] Jackson DA(2016)Classifying CT/MR findings in patients with suspicion of hepatocellular carcinoma: comparison of liver imaging reporting and data system and criteria-free Likert scale reporting models J Magn Reson Imaging 43 373-236

[14] Kiczales G(2015)Concordance of hypervascular liver nodule characterization between the organ procurement and transplant network and liver imaging reporting and data system classifications J Magn Reson Imaging 42 305-168

[15] Dayhoff JE(2018)Interreader reliability of LI-RADS version 2014 algorithm and imaging features for diagnosis of hepatocellular carcinoma: a large international multireader study Radiology 286 173-48

[16] DeLeo JM(2018)LI-RADS: a glimpse into the future Abdom Radiol (NY) 43 231-undefined

[17] Corwin MT(2018)Hepatocarcinogenesis and LI-RADS Abdom Radiol (NY) 43 158-undefined

[18] Lee AY(2018)Evidence supporting LI-RADS major features for CT- and MR imaging-based diagnosis of hepatocellular carcinoma: a systematic review Radiology 286 29-undefined

[19] Fananapazir G(undefined)undefined undefined undefined undefined-undefined

[20] Loehfelm TW(undefined)undefined undefined undefined undefined-undefined

[11] Summers RM(2014)Repeatability of diagnostic features and scoring systems for hepatocellular carcinoma by using MR imaging Radiology 272 132-383

[12] Olden JD(2016)Rate of observation and inter-observer agreement for LI-RADS major features at CT and MRI in 184 pathology proven hepatocellular carcinomas Abdom Radiol (NY) 41 963-185

[13] Jackson DA(2016)Classifying CT/MR findings in patients with suspicion of hepatocellular carcinoma: comparison of liver imaging reporting and data system and criteria-free Likert scale reporting models J Magn Reson Imaging 43 373-236

[14] Kiczales G(2015)Concordance of hypervascular liver nodule characterization between the organ procurement and transplant network and liver imaging reporting and data system classifications J Magn Reson Imaging 42 305-168

[15] Dayhoff JE(2018)Interreader reliability of LI-RADS version 2014 algorithm and imaging features for diagnosis of hepatocellular carcinoma: a large international multireader study Radiology 286 173-48

[16] DeLeo JM(2018)LI-RADS: a glimpse into the future Abdom Radiol (NY) 43 231-undefined

[17] Corwin MT(2018)Hepatocarcinogenesis and LI-RADS Abdom Radiol (NY) 43 158-undefined

[18] Lee AY(2018)Evidence supporting LI-RADS major features for CT- and MR imaging-based diagnosis of hepatocellular carcinoma: a systematic review Radiology 286 29-undefined

[19] Fananapazir G(undefined)undefined undefined undefined undefined-undefined

[20] Loehfelm TW(undefined)undefined undefined undefined undefined-undefined