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Publication result detail
NEMČEK, J; JAKUBÍČEK, R..; CHMELÍK, J.
Original Title
Localization and Classification of Intracranial Hemorrhages in CT Data
English Title
Type
Paper in proceedings (conference paper)
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.
English abstract
Keywords
Intracranial hemorrhage; Convolutional neural network; Localization; Classification; Computed tomography
Key words in English
Authors
RIV year
2021
Released
30.11.2020
Publisher
Springer Nature Switzerland AG 2021
Location
Switzerland
ISBN
978-3-030-64609-7
Book
EMBEC 2020, IFMBE Proceedings 80
1680-0737
Periodical
IFMBE Proceedings
Volume
80
State
French Republic
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" }
Documents
506237_1_En_86_Chapter_Author