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Updated: May 7, 2026

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
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对脑内出血患者使用自主监督学习自动检测黑洞标志

Hanyin Wang1, Tim Schwirtlich1, Ethan J Houskamp1

  • 1From the Department of Preventive Medicine (H.W., T.S., M.R.H, J.X.M, J.S.N, Y.L.), Department of Neurological Surgery (E.J.H.), and Department of Neurology (A.M.N.), Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA; IRCCS Istituto delle Scienze Neurologiche di Bologna, Department of Neurology and Stroke Center (A.Z., L.B.), Maggiore Hospital, Bologna, Italy; Department of Biomedical and Neuromotor Sciences (DIBINEM) (S.G.), Alma Mater Studiorum-University of Bologna, Bologna, Italy.

AJNR. American journal of neuroradiology
|May 7, 2025
PubMed
概括

一个新的自主监督学习框架准确地识别了CT扫描上的黑洞标志,有助于预测中风后的血瘤扩张. 这种自动化方法承诺更快地为关键干预选择患者.

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Detection of Black Holes01:10

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Although black holes were theoretically postulated in the 1920s, they remained outside the domain of observational astronomy until the 1970s.
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...