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NEMČEK, J.
Original Title
OBJECT DETECTION NETWORKS FOR LOCALIZATION AND CLASSIFICATION OF INTRACRANIAL HEMORRHAGES
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
Intracranialhemorrhagesrepresentlife-threateningbraininjuries.Thispaperpresentstwo state-of-the-artobjectdetectionsystems(FasterR-CNNandYOLOv2)whicharetrainedtolocalize andclassifyhemorrhagesinaxialheadCTslicesbyprovidinglabelledrectangularboundingboxes. PubliclyavailabledatasetsofheadCTdataandgroundtruthboundingboxesareusedtoevaluateand comparetheperformanceofbothdetectors.TheFasterR-CNNshowsbetterresultsbyachievingan averageJaccardcoefficientof58.7%.
English abstract
Keywords
intracranialhemorrhage,convolutionalneuralnetwork,localization,classification,computedtomography,FasterR-CNN,YOLOv2
Key words in English
Authors
RIV year
2024
Released
27.04.2021
Publisher
Brno University of Technology, Faculty of Electrical Engineering and Communication
Location
Brno
ISBN
978-80-214-5943-4
Book
PROCEEDINGS II OF THE 27TH STUDENT EEICT 2021 selected papers
Edition
1
Pages from
116
Pages to
120
Pages count
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" }