Detection of idiopathic normal pressure hydrocephalus on head CT using a deep convolutional neural network-Reference-Cited by-同舟云学术

Detection of idiopathic normal pressure hydrocephalus on head CT using a deep convolutional neural network

Published:2023-01-28 Issue:13 Volume:35 Page:9907-9915
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Haber Matthew A.^ORCID,Biondetti Giorgio P.,Gauriau Romane,Comeau Donnella S.,Chin John K.,Bizzo Bernardo C.,Strout Julia,Golby Alexandra J.,Andriole Katherine P.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-023-08225-5.pdf

Reference17 articles.

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2. Hashimoto M, Ishikawa M, Mori E et al (2010) Diagnosis of idiopathic normal pressure hydrocephalus is supported by MRI-based scheme: a prospective cohort study. Cerebrospinal Fluid Res 7:1–11. https://doi.org/10.1186/1743-8454-7-18

3. Keong NCH, Pena A, Price SJ et al (2016) Imaging normal pressure hydrocephalus: theories, techniques, and challenges. Neurosurg Focus 41(3):E11. https://doi.org/10.3171/2016.7.FOCUS16194

4. Agerskov S, Wallin M, Hellstrom P et al (2019) Absence of disproportionately enlarged subarachnoid space hydrocephalus, a sharp callosal angle, or other morphologic MRI markers should not be used to exclude patients with idiopathic normal pressure hydrocephalus from shunt surgery. Am J Neuroradiol 40(1):74–79. https://doi.org/10.3174/ajnr.A5910

5. Sharkey P, Pinilla-Monsalve G, Rigamonti A et al (2019) Health care expenditures of medicare beneficiaries with normal pressure hydrocephalus. World Neurosurg 127:548–555. https://doi.org/10.1016/j.wneu.2019.03.201

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