Regarding “Automated Segmentation of Intracranial Thrombus on NCCT and CTA in Patients with Acute Ischemic Stroke Using a Coarse-to-Fine Deep Learning Model”

References

1. 1.↵
   2. Zhu K,
   3. Bala F,
   4. Zhang J, et al

   . Automated segmentation of intracranial thrombus on NCCT and CTA in patients with acute ischemic stroke using a coarse-to-fine deep learning model. AJNR Am J Neuroradiol 2023;44:641–48 doi:10.3174/ajnr.A7878 pmid:37202113

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2. 2.↵
   2. Schmitt N,
   3. Mokli Y,
   4. Weyland CS, et al

   . Automated detection and segmentation of intracranial hemorrhage suspect hyperdensities in non-contrast-enhanced CT scans of acute stroke patients. Eur Radiology 2022;32:2246–54 doi:10.1007/s00330-021-08352-4 pmid:34773465

   CrossRefPubMed
3. 3.↵
   2. Seyam M,
   3. Weikert T,
   4. Sauter A, et al

   . Utilization of artificial intelligence-based intracranial hemorrhage detection on emergent noncontrast CT images in clinical workflow. Radiol Artif Intell 2022;4:e210168 doi:10.1148/ryai.210168 pmid:35391777

   CrossRefPubMed