J Med Syst - Automatic detection of the existence of subarachnoid hemorrhage from clinical CT images.

Tópicos

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Resumo

Subarachnoid hemorrhage (SAH) is a medical emergency which can lead to death or severe disability. Misinterpretation of computed tomography (CT) in patients with SAH is a common problem. How to improve the accuracy of diagnosis is a great challenge to both the clinical physicians and medical researchers. In this paper we proposed a method for the automatic detection of SAH on clinical non-contrast head CT scans. The novelty includes approximation of the subarachnoid space in head CT using an atlas based registration, and exploration of support vector machine to the detection of SAH. The study included 60 patients with SAH and 69 normal controls from clinical hospitals. Thirty patients with SAH and 30 normal controls were used for training, while the rest were used for testing to achieve a testing sensitivity of 100% and specificity of 89.7%. The proposed algorithm might be a potential tool to screen the existence of SAH.

Resumo Limpo

subarachnoid hemorrhag sah medic emerg can lead death sever disabl misinterpret comput tomographi ct patient sah common problem improv accuraci diagnosi great challeng clinic physician medic research paper propos method automat detect sah clinic noncontrast head ct scan novelti includ approxim subarachnoid space head ct use atlas base registr explor support vector machin detect sah studi includ patient sah normal control clinic hospit thirti patient sah normal control use train rest use test achiev test sensit specif propos algorithm might potenti tool screen exist sah

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