An assessment of noise variance estimations in Bayes threshold denoising under stationary wavelet domain on brain lesions and tumor MRIs

PurposeA major key success factor regarding proficient Bayes threshold denoising refers to noise variance estimation. This paper focuses on assessing different noise variance estimations in three Bayes threshold models on two different characteristic brain lesions/tumor magnetic resonance imaging (M...

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Veröffentlicht in:	Data technologies and applications 2022-01, Vol.56 (1), p.60-86
Hauptverfasser:	Pidchayathanakorn, Papangkorn, Supratid, Siriporn
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Brain Brain cancer Clinical Diagnosis Congenital Impairments Decision support systems Domains Identification Image processing Image reconstruction Image segmentation Lesions Magnetic resonance imaging Medical imaging Morphology Noise levels Noise reduction Noise threshold Performance assessment Reliability Teaching Methods Tumors Wavelet transforms
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