Investigation of Focal Loss in Deep Learning Models For Femur Fractures Classification
dc.contributor.author
Lotfy, Mayar
dc.contributor.author
Shubair, Raed M.
dc.contributor.author
Navab, Nassir
dc.contributor.author
Albarqouni, Shadi
dc.date.accessioned
2020-05-22T13:15:19Z
dc.date.available
2020-05-21T02:32:09Z
dc.date.available
2020-05-22T13:15:19Z
dc.date.issued
2020
dc.identifier.isbn
978-1-7281-5532-6
en_US
dc.identifier.isbn
978-1-7281-5531-9
en_US
dc.identifier.isbn
978-1-7281-5533-3
en_US
dc.identifier.other
10.1109/ICECTA48151.2019.8959770
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/416191
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.subject
Proximal femur fractures
en_US
dc.subject
Deep Learning
en_US
dc.subject
Focal loss
en_US
dc.subject
DenseNet
en_US
dc.title
Investigation of Focal Loss in Deep Learning Models For Femur Fractures Classification
en_US
dc.type
Conference Paper
dc.date.published
2020-01-16
ethz.book.title
2019 International Conference on Electrical and Computing Technologies and Applications (ICECTA)
en_US
ethz.pages.start
8959770
en_US
ethz.size
4 p.
en_US
ethz.event
International Conference on Electrical and Computing Technologies and Applications (ICECTA 2019)
en_US
ethz.event.location
Ras Al Khaimah, United Arab Emirates
en_US
ethz.event.date
November 19-21, 2019
en_US
ethz.identifier.wos
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2020-05-21T02:32:23Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-05-22T13:15:34Z
ethz.rosetta.lastUpdated
2020-05-22T13:15:35Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Investigation%20of%20Focal%20Loss%20in%20Deep%20Learning%20Models%20For%20Femur%20Fractures%20Classification&rft.date=2020&rft.spage=8959770&rft.au=Lotfy,%20Mayar&Shubair,%20Raed%20M.&Navab,%20Nassir&Albarqouni,%20Shadi&rft.isbn=978-1-7281-5532-6&978-1-7281-5531-9&978-1-7281-5533-3&rft.genre=proceeding&rft_id=info:doi/10.1109/ICECTA48151.2019.8959770&rft.btitle=2019%20International%20Conference%20on%20Electrical%20and%20Computing%20Technologies%20and%20Applications%20(ICECTA)
Files in this item
| Files | Size | Format | Open in viewer |
|---|---|---|---|
|
There are no files associated with this item. |
|||
Publication type
-
Conference Paper [33079]