Quantification of emphysema has been a topic of research for many years due to the time-consuming process that it requires and the subjectivity of the visual quantification of emphysema. In recent years there are a lot of studies dedicated to the comparison of automatic analysis data with the results of functional pulmonary tests. The previously used Tiffno index-based system for assessing the severity of chronic obstructive pulmonary disease (COPD) has lost its independent value, so today it is recommended to establish the diagnosis and stage of the disease taking into account the frequency and severity of exacerbations. Thus, there is a need to search for more objective diagnostic criteria, which can become an AI-based emphysema quantification.
Translated title of the contributionAI-BASED QUANTIFICATION OF LUNG EMPHYSEMA AND ITS CORRELATION WITH LUNG FUNCTION TEST RESULTS (LITERATURE REVIEW)
Original languageRussian
Pages (from-to)43-54
Number of pages12
JournalРАДИОЛОГИЯ - ПРАКТИКА
Issue number6(90)
DOIs
StatePublished - 2021

    Research areas

  • COMPUTED TOMOGRAPHY OF THE CHEST ORGANS, CHRONIC OBSTRUCTIVE PULMONARY DISEASE, ARTIFICIAL INTELLIGENCE, EMPHYSEMA

    Scopus subject areas

  • Health Professions(all)

ID: 90309135