Algorithms of the quantitative analysis of images in an information environment of morphological research

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Abstract

It's necessary to make an effective performance of research work in the conditions of a modern science research automation. This aspect is not realized as full as it need in the Russian medical high schools. Most actual questions of medical education process are introduction and active use of these research automation tools. To solve this problem it is necessary to design some new principles and algorithms of working with them.

About the authors

K B Gordon

Peoples' Friendship University of Russia

Email: orinoco@mail.ru
Кафедра медицинской информатикиМедицинский факультет; Российский университет дружбы народов; Peoples' Friendship University of Russia

A A Katushkina

Peoples' Friendship University of Russia

Email: orinoco@mail.ru
Кафедра патологической анатомииМедицинский факультет; Российский университет дружбы народов; Peoples' Friendship University of Russia

E A Luk'yanova

Peoples' Friendship University of Russia

Email: orinoco@mail.ru
Кафедра медицинской информатикиМедицинский факультет; Российский университет дружбы народов; Peoples' Friendship University of Russia

I I Babichenko

Peoples' Friendship University of Russia

Email: babichenko@med.rudn.ru <mailto:babichenko@med.rudn.ru>
Кафедра патологической анатомииМедицинский факультет; Российский университет дружбы народов; Peoples' Friendship University of Russia

V D Protsenko

Peoples' Friendship University of Russia

Email: orinoco@mail.ru
Кафедра медицинской информатикиМедицинский факультет; Российский университет дружбы народов; Peoples' Friendship University of Russia

References


Copyright (c) 2011 Гордон К.Б., Катушкина А.А., Лукьянова Е.А., Бабиченко И.И., Проценко В.Д.

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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