2015
DOI: 10.3103/s1068335615080047
|View full text |Cite
|
Sign up to set email alerts
|

Physical research methods in expert systems of oncological disease diagnostics

Abstract: The problems of using physical research methods in diagnostics of oncological diseases of the gastrointestinal tract and constructing a multimedia learning system on their basis for doctors are considered. The system includes: expert systems, a remote learning system, and an electronic textbook. Disease localizations in esophagus, stomach, intestines, pancreas, and liver are considered. Practical application of the system provides an increase in the learning efficiency during postgraduate training of oncologis… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 12 publications
(2 citation statements)
references
References 3 publications
0
2
0
Order By: Relevance
“…The histological descriptions of preparations are given by specialists of the urology department of the A.I.Yevdokimov Moscow State University of Medicine and Dentistry of the Ministry of Healthcare of the Russian Federation [3][4][5]. Object recognition is a common problem in most programs of automated diagnostics [6][7][8][9]. The object recognition criterion implies two conditions.…”
Section: Introductionmentioning
confidence: 99%
“…The histological descriptions of preparations are given by specialists of the urology department of the A.I.Yevdokimov Moscow State University of Medicine and Dentistry of the Ministry of Healthcare of the Russian Federation [3][4][5]. Object recognition is a common problem in most programs of automated diagnostics [6][7][8][9]. The object recognition criterion implies two conditions.…”
Section: Introductionmentioning
confidence: 99%
“…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%