2017
DOI: 10.18287/2412-6179-2017-41-1-103-109
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A method for digital renal scintigram analysis based on brightness and geometric features

Abstract: We proposed a method of automated scintigram image processing enabling an objective evaluation of the renal parenchyma condition to be made based on scintigram brightness and geometric characteristics with threshold processing. We studied the method using a set of real radionuclide images of a renal transplant. The results of clinical studies confirm the effectiveness of the developed method. We obtained objective numerical values associated with thresholding the image from 40% to 80%, based on which one can f… Show more

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Cited by 5 publications
(3 citation statements)
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“…Modern diagnostic systems are a compromise between algorithms that require significant computational costs to achieve high accuracy of diagnostic, and hardware with limited performance. It has been established that the accuracy of arrhythmia recognition in existing solutions does not often exceed 80% [2,5,[10][11][12][13]17,20,25,38].…”
Section: Analysis Of Automatic Arrhythmia Diagnosis Methodsmentioning
confidence: 99%
“…Modern diagnostic systems are a compromise between algorithms that require significant computational costs to achieve high accuracy of diagnostic, and hardware with limited performance. It has been established that the accuracy of arrhythmia recognition in existing solutions does not often exceed 80% [2,5,[10][11][12][13]17,20,25,38].…”
Section: Analysis Of Automatic Arrhythmia Diagnosis Methodsmentioning
confidence: 99%
“…Therefore, in order to establish a decision-making criterion, we have developed an adaptive data processing algorithm based on modern statistical decision theory and taking into account the distribution law and the parameters of the useful signal and noise measured during automatic adjustment of the system [5,8].…”
Section: Model Of the Process Of Recognizing The Onset And End Of Resmentioning
confidence: 99%
“…The General criterion to establish the type of control action is formed by the conjunction of a number of parameters that make up the matrix of States of M and M1 and characterizes the variability of the condition of the human respiratory system with different types of impact, which is determined by the ratio: Thus, the total set of informative features from different types of impacts (throttle and relay) is characterized by two matrices M and M1, which are necessary to identify the state of the respiratory system and formation of control actions [8,9]. These characteristics can be applied to the evaluation of corrective action.…”
Section: Diagnostic Matrixes Of the Respiratory System Condition For mentioning
confidence: 99%