Publication detail

ANALYSIS OF CIRCULATORY SYSTEM PATHOLOGIES IN HEAD CT DATA – HEMORRHAGE LOCALIZATION

NEMČEK, J. JAKUBÍČEK, R.

Original Title

ANALYSIS OF CIRCULATORY SYSTEM PATHOLOGIES IN HEAD CT DATA – HEMORRHAGE LOCALIZATION

Type

journal article in Scopus

Language

English

Original Abstract

Acute ischemic stroke and intracranial hemorrhages (ICH) represent critical situations for the patient. Rapid accurate diagnosis and therapy are required to prevent serious lifelong consequences or death. In the case of suspected head circulatory pathology, computed tomography (CT) is often the first choice among imaging techniques because of its availability, speed and reliability. In order to refine and speed up the diagnostic process, advanced algorithms implemented in computer aided diagnosis systems are currently being developed. This paper presents approaches to an automatic ICH localization as a part of a research project aimed at the development of machine learning methods for the analysis of circulatory disorders in head CT scans. Three designed deep learning-based algorithms are described and compared for prediction of the exact position of ICH within a 3D CT scan, and in two cases also for classification into the sub-types. An objective evaluation of the methods is presented along with a discussion of the results. Further possibilities for circulatory diseases analysis in head CT scans using modern algorithms are also discussed.

Keywords

classification; convolutional neural network; CT; deep learning; intracranial hemorrhage; localization

Authors

NEMČEK, J.; JAKUBÍČEK, R.

Released

31. 12. 2021

Publisher

Czech Medical Association J.E. Purkyne

Location

Czechia

ISBN

0301-5491

Periodical

Lékař a technika

Year of study

51

Number

1-4

State

Czech Republic

Pages from

66

Pages to

70

Pages count

5

URL

BibTex

@article{BUT183055,
  author="Jakub {Nemček} and Roman {Jakubíček}",
  title="ANALYSIS OF CIRCULATORY SYSTEM PATHOLOGIES IN HEAD CT DATA – HEMORRHAGE LOCALIZATION",
  journal="Lékař a technika",
  year="2021",
  volume="51",
  number="1-4",
  pages="66--70",
  doi="10.14311/CTJ.2021.1.10",
  issn="0301-5491",
  url="https://ojs.cvut.cz/ojs/index.php/CTJ/issue/view/810"
}