РАЗРАБОТКА МОДЕЛИ АВТОМАТИЧЕСКОГО ОПРЕДЕЛЕНИЯ ГРАНИЦ ПАТОЛОГИИ ПРИ ОНКОЛОГИЧЕСКОЙ ДИАГНОСТИКЕ ЛЕГКИХ

科研成果: Article同行评审

摘要

The paper deals with the problem of determining the boundaries of pulmonary pathologies in the diagnosis of lung cancer. Pulmonary pathologies are one of the most widespread diseases in the history of mankind, leading to high mortality rates worldwide. This is due to the presence of complexities that provoke errors in the diagnosis of pathology, and as a result, errors in the treatment stage. Such factors include: complex structure of pulmonary pathologies, absence of correct information about the borders of pathology in the process of their visualization (separately from other organs), shortcomings of existing algorithms of determining the borders, connected with modern means of forming, processing and analysis of images. The aim of this work was to create a method allowing to automatically set more precise limits of pulmonary pathologies and to minimize the errors that occur during semi-automatic segmentation based on algorithms of lung image processing and analysis. In order to achieve this goal, the following steps were taken - a literary and analytical review was carried out and a package of structural and mathematical models was developed. The results of this study can be used in cancer diagnosis of the lungs, for automatic determination of the boundaries of the pathology to enhance their diagnostic value.
投稿的翻译标题DEVELOPMENT OF MODEL FOR AUTOMATIC DETERMINATION OF THE PATHOLOGY BOUNDARIES IN LUNG CANCER DIAGNOSTICS
源语言Russian
页(从-至)84-89
页数6
期刊Наука и бизнес: пути развития
5 (107)
Published - 2020

GRNTI

  • 76.29.00

Level of Research Output

  • VAK List

指纹

探究 'РАЗРАБОТКА МОДЕЛИ АВТОМАТИЧЕСКОГО ОПРЕДЕЛЕНИЯ ГРАНИЦ ПАТОЛОГИИ ПРИ ОНКОЛОГИЧЕСКОЙ ДИАГНОСТИКЕ ЛЕГКИХ' 的科研主题。它们共同构成独一无二的指纹。

引用此