Study of the Effectiveness of Using Wavelet Analysis in Data-Acquisition Systems for Diagnosis of Acute Leukemias

Nikitaev, V. G.; Nagornov, O. V.; Pronichev, A. N.; Polyakov, E. V.; Sel’chuk, V. Yu.; Chistov, K. S.; Blindar, V N; Dmitrieva, V. V.; Zaitsev, S. M.; Gordeev, V. V.

doi:10.1007/s11018-015-0603-8

Cited by 14 publications

(3 citation statements)

References 2 publications

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“…Degree of overlap in the analyzed image with images in various diagnoses is estimated in result. The program provides quantification of the analyzed objects in the microscopic images of the preparation along with the application of qualitative characteristics describing the image represented by the experts [7][8][9][10][11].…”

Section: Decision Support System In the Diagnosis Of Urological Maligmentioning

confidence: 99%

Computer system for remote consultations in the diagnosis of urological malignancies

Zaytsev

Nikitaev

Pronichev

et al. 2017

J. Phys.: Conf. Ser.

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Related contentThe use of a gas chromatography-sensor system combined with advanced statistical methods, towards the diagnosis of urological malignancies Raphael B M Aggio, Ben de Lacy Costello, Paul White et al. Abstract. The complex for the decision support in diagnosis of prostate diseases with using expert knowledge and remote consultations in the process of urologic diseases diagnosis with using prostate preparation images was proposed. The complex allows to ensure consistency in the actions of doctors for remote consultation (areas of interest, marking, and search for informative objects in the preparation images) and to use experts knowledge in cases that are difficult to diagnose.

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Section: Decision Support System In the Diagnosis Of Urological Maligmentioning

confidence: 99%

Computer system for remote consultations in the diagnosis of urological malignancies

Zaytsev

Nikitaev

Pronichev

et al. 2017

J. Phys.: Conf. Ser.

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“…1553-1560 abnormal data information of mechanical operation cannot be shared and the storage space is limited, so the information of mechanical operation can only be saved in a short time. Nikitaev et al [8] designs the abnormal data acquisition system based on adaptive intelligent technology. The system cannot guarantee the privacy of abnormal data information of mechanical operation.…”

Section: Introductionmentioning

confidence: 99%

Abnormal data acquisition system of mechanical operation based on block chain technology

Xiao

2020

THERM SCI

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In order to solve the problems of information sharing, tampering and leaking in mechanical operation data acquisition, an abnormal data acquisition system for mechanical operation based on block chain technology was designed. The system takes Beihang Chain as the prototype and designs the overall architecture of the system. Data acquisition module uses data acquisition card, CPU, programmable logic device, A/D conversion chip and other equipment to collect and process abnormal data in mechanical operation. The alarm module divides the abnormal data collected by the data acquisition module into five levels: P1-P5. After the implementation of the alarm module, the abnormal information and alarm information in the process of mechanical operation are transmitted to the abnormal data management module for storage. The system adopts the method of mechanical operation anomaly data acquisition based on sparse sampling, and adopts hierarchical clustering method to establish the data acquisition tree of mechanical operation anomaly. The block chain technology is used to design the process of storing and monitoring abnormal data of mechanical operation. The experimental results show that the system has high accuracy of fitting curve for abnormal data acquisition, low real-time energy consumption, and the minimum energy consumption is only 0.01/10-3 J.

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“…Such systems allow to analyse normal blood cells, count features, to provide automatic and automated (online) classification of blood cells. However, the errors of existing systems in the case of the recognition of pathological blood cells are high, which requires further research [6][7][8]. Here littleexplored area is assessment of the impact of artifacts on the recognition results.…”

Section: Introductionmentioning

confidence: 99%

Research methodology of the artifact effect in the blood to the result of cell classification

Polyakov

Nikitaev

Seldyukov

2017

J. Phys.: Conf. Ser.

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Study of the Effectiveness of Using Wavelet Analysis in Data-Acquisition Systems for Diagnosis of Acute Leukemias

Cited by 14 publications

References 2 publications

Computer system for remote consultations in the diagnosis of urological malignancies

Computer system for remote consultations in the diagnosis of urological malignancies

Abnormal data acquisition system of mechanical operation based on block chain technology

Research methodology of the artifact effect in the blood to the result of cell classification

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