Comparison of Radiomic Models Based on Different Machine Learning Methods for Predicting Intracerebral Hemorrhage Expansion

[11] Viswanathan A(2017)Computed tomographic blend sign is associated with computed tomographic angiography spot sign and predicts secondary neurological deterioration after intracerebral hemorrhage Stroke 48 131-135

[12] Greenberg SM(2016)Black hole sign: Novel imaging marker that predicts hematoma growth in patients with intracerebral hemorrhage Stroke 47 1777-1781

[13] Rosand J(2018)The CT swirl sign is associated with hematoma expansion in intracerebral hemorrhage AJNR Am J Neuroradiol 39 232-237

[14] Qureshi AI(2012)Prediction of haematoma growth and outcome in patients with intracerebral haemorrhage using the CT-angiography spot sign (PREDICT): a prospective observational study. Lancet Neurol. 2012;11 Erratum in: Lancet Neurol. 11 307-314

[15] Tuhrim S(2016)Leakage sign for primary intracerebral hemorrhage: A novel predictor of hematoma growth Stroke 47 958-963

[16] Broderick JP(2017)Predictive value of CTA spot sign on hematoma expansion in intracerebral hemorrhage patients Biomed Res Int 2017 4137210-1125

[17] Batjer HH(2017)Noncontrast computed tomography markers of intracerebral hemorrhage expansion Stroke 48 1120-577

[18] Hondo H(2016)Radiomics: Images are more than pictures, they are data Radiology 278 563-1248

[19] Hanley DF(2012)Radiomics: the process and the challenges Magn Reson Imaging 30 1234-446

[20] van Asch CJ(2012)Radiomics: extracting more information from medical images using advanced feature analysis Eur J Cancer 48 441-4396

[11] Viswanathan A(2017)Computed tomographic blend sign is associated with computed tomographic angiography spot sign and predicts secondary neurological deterioration after intracerebral hemorrhage Stroke 48 131-135

[12] Greenberg SM(2016)Black hole sign: Novel imaging marker that predicts hematoma growth in patients with intracerebral hemorrhage Stroke 47 1777-1781

[13] Rosand J(2018)The CT swirl sign is associated with hematoma expansion in intracerebral hemorrhage AJNR Am J Neuroradiol 39 232-237

[14] Qureshi AI(2012)Prediction of haematoma growth and outcome in patients with intracerebral haemorrhage using the CT-angiography spot sign (PREDICT): a prospective observational study. Lancet Neurol. 2012;11 Erratum in: Lancet Neurol. 11 307-314

[15] Tuhrim S(2016)Leakage sign for primary intracerebral hemorrhage: A novel predictor of hematoma growth Stroke 47 958-963

[16] Broderick JP(2017)Predictive value of CTA spot sign on hematoma expansion in intracerebral hemorrhage patients Biomed Res Int 2017 4137210-1125

[17] Batjer HH(2017)Noncontrast computed tomography markers of intracerebral hemorrhage expansion Stroke 48 1120-577

[18] Hondo H(2016)Radiomics: Images are more than pictures, they are data Radiology 278 563-1248

[19] Hanley DF(2012)Radiomics: the process and the challenges Magn Reson Imaging 30 1234-446

[20] van Asch CJ(2012)Radiomics: extracting more information from medical images using advanced feature analysis Eur J Cancer 48 441-4396