An Automatic Framework for Nasal Esthetic Assessment by ResNet Convolutional Neural Network
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
An Automatic Framework for Nasal Esthetic Assessment by ResNet Convolutional Neural Network ; day:29 ; month:1 ; year:2024 ; pages:1-16
Journal of imaging informatics in medicine ; (29.1.2024), 1-16
- Creator
-
Ashoori, Maryam
Zoroofi, Reza A.
Sadeghi, Mohammad
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s10278-024-00973-7
- URN
-
urn:nbn:de:101:1-2024040911271915861639
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:58 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Ashoori, Maryam
- Zoroofi, Reza A.
- Sadeghi, Mohammad
- SpringerLink (Online service)
Other Objects (12)
Automatic prostate segmentation in transrectal ultrasound images using modified V-net convolutional neural network
CONEqNet: convolutional music equalizer network
Esthetic Activity in Photography
Imaging in esthetic dentistry
Principles of esthetic integration
Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks
DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images
Contemporary esthetic dentistry : practice fundamentals
Automatic classification of requirements based on convolutional neural networks
Fully automatic wound segmentation with deep convolutional neural networks
Automatic electroencephalogram artifact removal using deep convolutional neural networks
SpinNet: Spinning convolutional network for lane boundary detection
Automatic prostate segmentation in transrectal ultrasound images using modified V-net convolutional neural network
CONEqNet: convolutional music equalizer network
Esthetic Activity in Photography
Imaging in esthetic dentistry
Principles of esthetic integration
Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks
DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images
Contemporary esthetic dentistry : practice fundamentals
Automatic classification of requirements based on convolutional neural networks
Fully automatic wound segmentation with deep convolutional neural networks
Automatic electroencephalogram artifact removal using deep convolutional neural networks
SpinNet: Spinning convolutional network for lane boundary detection
Automatic prostate segmentation in transrectal ultrasound images using modified V-net convolutional neural network
CONEqNet: convolutional music equalizer network
Esthetic Activity in Photography
Imaging in esthetic dentistry
Principles of esthetic integration
Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks
DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images
Contemporary esthetic dentistry : practice fundamentals
Automatic classification of requirements based on convolutional neural networks
Fully automatic wound segmentation with deep convolutional neural networks
Automatic electroencephalogram artifact removal using deep convolutional neural networks