Detail publikace

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

NEMČEK, J. JAKUBÍČEK, R.

Originální název

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

Typ

článek v časopise ve Scopus, Jsc

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

NEMČEK, J.; JAKUBÍČEK, R.

Vydáno

31. 12. 2021

Nakladatel

Czech Medical Association J.E. Purkyne

Místo

Czechia

ISSN

0301-5491

Periodikum

Lékař a technika

Ročník

51

Číslo

1-4

Stát

Česká republika

Strany od

66

Strany do

70

Strany počet

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"
}