Computed understanding of CT images used for aided stroke diagnosis was the subject of reported research. Subtle hypodense changes of brain tissue as direct ...
Computer-aided acute stroke diagnosis was mostly based on unenhanced CT examinations [4,5] according to concept of sensing technologies with semantic image ...
Nonlinear approximation of subtle pathology signatures in multiscale domain was verified for several local bases including wavelets, curvelets, contourlets and ...
Subtle hypodense changes of brain tissue as direct ischemia signs was estimated and extracted to improve diagnosis. Fundamental value of semantic content ...
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... Approximation of subtle pathology signs in multiscale domain for computer-aided ischemic stroke diagnosis, Lecture Notes in Computer Science, Vol. 5337 ...
... Approximation of subtle pathology signs in multiscale domain for computer-aided ischemic stroke diagnosis, Lecture Notes in Computer Science, Vol. 5337 ...
... detection of direct signs of hyperacute ischemic stroke. Proposed tool is nonlinear approximation in base of multiscale functions with respective thresholding.
Approximation of Subtle Pathology Signs in Multiscale Domain for Computer-Aided Ischemic Stroke Diagnosis ... Computed understanding of CT images used for aided ...
Proposed method called multiscale computer-assistant of stroke (MulCAS) was based on nonlinear approximation of subtle hypodense signs as diagnostic content in ...
Preclinical studies have shown that by combining diffusion and relaxometric MRI, timing ischemic strokes is possible with clinically acceptable accuracy.