Novel Approach to Computer-Aided Detection of Lung Nodules of Difficult Location with Use of Multifactorial Models and Deep Neural Networks

Orobinskyi, Pavlo; Petrenko, Dmytro; Lyashenko, Vyacheslav

doi:10.1109/cadsm.2019.8779340

Cited by 6 publications

(3 citation statements)

References 13 publications

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“…The scope of such an application can be varied. One of the key areas for data analysis is medical research [6], [7]. This is due to the fact that in this case, a diagnosis of human health is carried out, possible diseases are identified.…”

Section: Introductionmentioning

confidence: 99%

Wavelet Coherence as a Tool for Markers Selection in the Diagnosis of Kidney Disease

Moheb¹

2020

IJETER

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A study was conducted on the relationship between different markers in the diagnosis of kidney disease. As such markers were considered: glomerular filtration rate, renal arterial blood flow velocity, resistive renal artery index. The relationship between the markers was investigated taking into account the return and body mass index of patients. This allows you to identify various risk groups. We used wavelet coherence to explain the results of the relationship between markers and visualize the research process. The expediency of using the wavelet methodology for conducting intellectual diagnostics for the detection of kidney diseases is shown. As a prevailing preference in the study of markers for the diagnosis of kidney disease, a body mass index was determined. The results of various experiments are presented.

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Section: Introductionmentioning

confidence: 99%

Wavelet Coherence as a Tool for Markers Selection in the Diagnosis of Kidney Disease

Moheb¹

2020

IJETER

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“…Given that objects of special purpose function in a priori uncertainty, characterized by a fuzzy space of states, which requires new intellectual approaches to increase the reliability of the decisions that are adopted, characterized by functional and territorial distribution, a complex hierarchy of interacting processes [1]. It is necessary to predict certain requirements to the mathematical apparatus, methods of object-oriented modeling and analysis of interacting processes of a complex system, taking into consideration such systems may be different [2]- [4].…”

Section: Introductionmentioning

confidence: 99%

Improving Fuzzy Network Models For the Analysis of Dynamic Interacting Processes in the State Space

Matarneh*,

Tvoroshenko,

Lyashenko

2019

IJRTE

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Most promising approaches that deal with dynamics of interacting processes do not take into consideration the fuzzy properties of all components and the state space of the model, the set of parameters and features of the subject domain. This leads us to create integrated systematic approach to solve these problems as a sole task for developing new effective mathematical fuzzy models that take into account the advantages of existing models, formal criteria and approaches, modern technologies, methods and tools for solving theoretical and practical tasks. The extended fuzzy Petri Networks and their further development are proposed with new capabilities to solve the analysis and adaptation problems depending on the peculiarities of the processes of the subjected area. The proposed approach which is mainly based on some general provisions for the development of color Petri nets and fuzzy colored Petri dishes, tends to create a new class of fuzzy Petri nets to effectively solve complex tasks while reducing the dimension of the model and complexity. The implementation of the model is focused on the use of modern information technologies. Colored Petri nets can be considered an effective tool for determining the size of network models. Limitations on the homogeneity of logical operations are presented taking into account fragments of fuzzy network models. This can be done by practical use of the presented models..

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“…Of particular importance is the analysis of data in medicine [3], [4]. This is due to the fact that we are considering data that characterize the health and possible diseases of patients.…”

Section: Introductionmentioning

confidence: 99%

Wavelet Coherence as a Tool for Visualizing the Relationship between Glomerular Filtration Rate and Renal Artery Blood Flow Velocity

Ali¹

2019

IJETER

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The study of glomerular filtration rate using renal scintigraphy with enhancement and blood flow velocity in renal artery has been carried. We estimated the relationship between glomerular filtration rate and renal artery blood flow rate for each kidney and their mutual influence. To explain the results of the relationship and visualization of the research process, we used wavelet coherence. The expediency of using the wavelet methodology for conducting intellectual diagnostics for the detection of kidney diseases is shown.

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Novel Approach to Computer-Aided Detection of Lung Nodules of Difficult Location with Use of Multifactorial Models and Deep Neural Networks

Cited by 6 publications

References 13 publications

Wavelet Coherence as a Tool for Markers Selection in the Diagnosis of Kidney Disease

Wavelet Coherence as a Tool for Markers Selection in the Diagnosis of Kidney Disease

Improving Fuzzy Network Models For the Analysis of Dynamic Interacting Processes in the State Space

Wavelet Coherence as a Tool for Visualizing the Relationship between Glomerular Filtration Rate and Renal Artery Blood Flow Velocity

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