Publication detail

Localization and Classification of Intracranial Hemorrhages in CT Data

NEMČEK, J JAKUBÍČEK, R.. CHMELÍK, J.

Original Title

Localization and Classification of Intracranial Hemorrhages in CT Data

Type

conference paper

Language

English

Original Abstract

Intracranial hemorrhages (ICHs) are life-threatening brain injures with a relatively high incidence. In this paper, the automatic algorithm for the detection and classification of ICHs, including localization, is present. The set of binary convolutional neural network-based classifiers with an innovatively designed cascade-parallel architecture is used. This automatic system may lead to a distinct decrease in the diagnostic process’s duration in acute cases. An average Jaccard coefficient of 53.7% is achieved on the data from the publicly available head CT dataset CQ500.

Keywords

Intracranial hemorrhage; Convolutional neural network; Localization; Classification; Computed tomography

Authors

NEMČEK, J; JAKUBÍČEK, R..; CHMELÍK, J.

Released

30. 11. 2020

Publisher

Springer Nature Switzerland AG 2021

Location

Switzerland

ISBN

978-3-030-64609-7

Book

EMBEC 2020, IFMBE Proceedings 80

ISBN

1680-0737

Periodical

IFMBE PROCEEDINGS

Year of study

80

State

Kingdom of Sweden

Pages from

767

Pages to

773

Pages count

7

URL

https://link.springer.com/chapter/10.1007/978-3-030-64610-3_86

BibTex

@inproceedings{BUT166033,
  author="Jakub {Nemček} and Roman {Jakubíček} and Jiří {Chmelík}",
  title="Localization and Classification of Intracranial Hemorrhages in CT Data",
  booktitle="EMBEC 2020, IFMBE Proceedings 80",
  year="2020",
  journal="IFMBE PROCEEDINGS",
  volume="80",
  pages="767--773",
  publisher="Springer Nature Switzerland AG 2021",
  address="Switzerland",
  doi="10.1007/978-3-030-64610-3\{_}86",
  isbn="978-3-030-64609-7",
  issn="1680-0737",
  url="https://link.springer.com/chapter/10.1007/978-3-030-64610-3_86"
}