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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
https://ojs.cvut.cz/ojs/index.php/CTJ/issue/view/810
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" }