Model of Description of Leukocytes of Peripheral Blood Based on the Optical Features of the Structure of Nuclei

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.; Gordeev, V. V.

doi:10.1007/s11018-014-0497-x

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Decision Support System In the Diagnosis Of Urological Malig1

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Cited by 10 publications

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“…The program allows to save the calculated characteristics for the selected cells in the file format ".csv", to classify sample cells, view the recognized cells [9][10][11][12].…”

Section: Resultsmentioning

confidence: 99%

Method of Myelogram Analysis in Leukocyte Recognition Systems

Nikitaev¹,

Nagornov²,

Pronichev³

et al. 2018

KEn

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“…The program allows to save the calculated characteristics for the selected cells in the file format ".csv", to classify sample cells, view the recognized cells [9][10][11][12].…”

Section: Resultsmentioning

confidence: 99%

Method of Myelogram Analysis in Leukocyte Recognition Systems

Nikitaev¹,

Nagornov²,

Pronichev³

et al. 2018

KEn

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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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“…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%