Skip to main content
Communities & Collections
All of DSpace
Statistics
English
العربية
বাংলা
Català
Čeština
Deutsch
Ελληνικά
Español
Suomi
Français
Gàidhlig
हिंदी
Magyar
Italiano
Қазақ
Latviešu
Nederlands
Polski
Português
Português do Brasil
Srpski (lat)
Српски
Svenska
Türkçe
Yкраї́нська
Tiếng Việt
Log In
Log in
New user? Click here to register.
Have you forgotten your password?
Home
KMITL
All
Evaluating synthetic neuroimaging data augmentation for automatic brain tumour segmentation with a deep fully-convolutional network
Evaluating synthetic neuroimaging data augmentation for automatic brain tumour segmentation with a deep fully-convolutional network
Loading...
Date
2023-12-14
Authors
Fawad Asadi
Thanate Angsuwatanakul
Jamie A O'Reilly
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Description
Keywords
Dice
,
Synthetic data
,
Fluid-attenuated inversion recovery
,
Data set
Citation
URI
https://dspace.kmitl.ac.th/handle/123456789/13116
Collections
All
Endorsement
Review
Supplemented By
Referenced By
Full item page