Concepedia

A Radiomics Model Based on CT Images Combined with Multiple Machine Learning Models to Predict the Prognosis of Spontaneous Intracerebral Hemorrhage

Lei Pei, Tao Fang, Liang Xu, Chenfeng Ni

World Neurosurgery · 2023 · 12 citations · 19 references

DOIFull text

Open access

Abstract

The combined model demonstrates reliability and efficacy in predicting the discharge prognosis of ICH, enabling physicians to perform individualized risk assessments, and make optimal choices about patients with ICH.

References

19

Prognostic prediction of hypertensive intracerebral hemorrhage using CT radiomics and machine learning

Xinghua Xu, Jiashu Zhang, Kai Yang et al. · Brain and Behavior · 2021 · 71 citations · Full text

Computed Tomography Radiomics for Predicting Pathological Grade of Renal Cell Carcinoma

Xiaoping Yi, Qiao Xiao, Feiyue Zeng et al. · Frontiers in Oncology · 2021 · 56 citations · Full text

Clinical-radiomics Nomogram for Risk Estimation of Early Hematoma Expansion after Acute Intracerebral Hemorrhage

Qian Chen, Dongqin Zhu, Jinjin Liu et al. · Academic Radiology · 2020 · 54 citations

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A clinical-radiomics nomogram may provide a personalized 90-day functional outcome assessment for spontaneous intracerebral hemorrhage

Zuhua Song, Zhuoyue Tang, Huan Liu et al. · European Radiology · 2021 · 51 citations

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Three-dimensional CT texture analysis of anatomic liver segments can differentiate between low-grade and high-grade fibrosis

Bettina Katalin Budai, Ambrus Tóth, Petra Borsos et al. · BMC Medical Imaging · 2020 · 36 citations · Full text