Detail publikace

Microscopic Image Processing in Studying Diverticular Disease

Originální název

Microscopic Image Processing in Studying Diverticular Disease

Anglický název

Microscopic Image Processing in Studying Diverticular Disease

Jazyk

en

Originální abstrakt

This article deals with initial research of designing microscopic image processing methods in studying diverticular disease. In previous medical research a functional and structural changes were found in tissues of persons affected by diverticular disease. The acquired images were processed manually. The goal of image processing methods research for automatic or semiautomatic processing followed by manual supervising is to simplify and speed-up the image processing and evaluation of objects parameters. In addition to speed-up the processing the goal is to increase the accuracy of evaluating the tissues properties.

Anglický abstrakt

This article deals with initial research of designing microscopic image processing methods in studying diverticular disease. In previous medical research a functional and structural changes were found in tissues of persons affected by diverticular disease. The acquired images were processed manually. The goal of image processing methods research for automatic or semiautomatic processing followed by manual supervising is to simplify and speed-up the image processing and evaluation of objects parameters. In addition to speed-up the processing the goal is to increase the accuracy of evaluating the tissues properties.

BibTex 


@article{BUT73437,
  author="Jan {Mikulka}",
  title="Microscopic Image Processing in Studying Diverticular Disease",
  annote="This article deals with initial research of designing microscopic image processing methods in studying diverticular disease. In previous medical research a functional and structural changes were found in tissues of persons affected by diverticular disease. The acquired images were processed manually. The goal of image processing methods research for automatic or semiautomatic processing followed by manual supervising is to simplify and speed-up the image processing and evaluation of objects parameters. In addition to speed-up the processing the goal is to increase the accuracy of evaluating the tissues properties.",
  chapter="73437",
  number="2011",
  volume="2011",
  year="2011",
  month="september",
  pages="971--973",
  type="journal article"
}