Detail publikace

OBJECT DETECTION NETWORKS FOR LOCALIZATION AND CLASSIFICATION OF INTRACRANIAL HEMORRHAGES

NEMČEK, J.

Originální název

OBJECT DETECTION NETWORKS FOR LOCALIZATION AND CLASSIFICATION OF INTRACRANIAL HEMORRHAGES

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Intracranialhemorrhagesrepresentlife-threateningbraininjuries.Thispaperpresentstwo state-of-the-artobjectdetectionsystems(FasterR-CNNandYOLOv2)whicharetrainedtolocalize andclassifyhemorrhagesinaxialheadCTslicesbyprovidinglabelledrectangularboundingboxes. PubliclyavailabledatasetsofheadCTdataandgroundtruthboundingboxesareusedtoevaluateand comparetheperformanceofbothdetectors.TheFasterR-CNNshowsbetterresultsbyachievingan averageJaccardcoefficientof58.7%.

Klíčová slova

intracranialhemorrhage,convolutionalneuralnetwork,localization,classification,computedtomography,FasterR-CNN,YOLOv2

Autoři

NEMČEK, J.

Vydáno

27. 4. 2021

Nakladatel

Brno University of Technology, Faculty of Electrical Engineering and Communication

Místo

Brno

ISBN

978-80-214-5943-4

Kniha

PROCEEDINGS II OF THE 27TH STUDENT EEICT 2021 selected papers

Edice

1

Strany od

116

Strany do

120

Strany počet

5

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2021_sbornik_2_v3_DOI.pdf

BibTex

@inproceedings{BUT183915,
  author="Jakub {Nemček}",
  title="OBJECT DETECTION NETWORKS FOR LOCALIZATION AND CLASSIFICATION OF INTRACRANIAL HEMORRHAGES",
  booktitle="PROCEEDINGS II OF THE 27TH STUDENT EEICT 2021 selected papers",
  year="2021",
  series="1",
  pages="116--120",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  doi="10.13164/eeict.2021.116",
  isbn="978-80-214-5943-4",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2021_sbornik_2_v3_DOI.pdf"
}