NSST domain CT–MR neurological image fusion using optimised biologically inspired neural network (Englisch)
Freier Zugriff
- Neue Suche nach: Das, Manisha
- Neue Suche nach: Gupta, Deep
- Neue Suche nach: Radeva, Petia
- Neue Suche nach: Bakde, Ashwini M.
- Neue Suche nach: Das, Manisha
- Neue Suche nach: Gupta, Deep
- Neue Suche nach: Radeva, Petia
- Neue Suche nach: Bakde, Ashwini M.
In:
IET Image Processing
;
14
, 16
;
4291-4305
;
2020
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:NSST domain CT–MR neurological image fusion using optimised biologically inspired neural network
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Beteiligte:Das, Manisha ( Autor:in ) / Gupta, Deep ( Autor:in ) / Radeva, Petia ( Autor:in ) / Bakde, Ashwini M. ( Autor:in )
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Erschienen in:IET Image Processing ; 14, 16 ; 4291-4305
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Verlag:
- Neue Suche nach: The Institution of Engineering and Technology
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Erscheinungsdatum:01.12.2020
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Format / Umfang:15 pages
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:optimisation process , tomography–magnetic resonance neurological image fusion method , optimised neural model , high‐frequency NSST subbands , spatial frequency , neural nets , edge index , image resolution , multisource images , better‐fused images , nonsubsampled shearlet domain , NSST domain CT–MR neurological image fusion , optimised biologically inspired neural network , complementary information present , CT–MR neurological image datasets , neurophysiology , fused subbands , diagnostic medical imaging , clinical assessment , multimodal medical images , firing maps , particle swarm optimisation , medical abnormalities , image denoising , imperative role , edge information present , fusion performance , computerised tomography , clinical diagnosis , inverse NSST , resultant fused image , medical image processing , image fusion
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Datenquelle:
Inhaltsverzeichnis – Band 14, Ausgabe 16
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