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A Novel Run-length based wavelet features for Screening Thyroid Nodule Malignancy BABT
Haji,Salih Omer; Yousif,Raghad Zuhair.
Abstract: Thyroid nodules are cell growths in the thyroid which might be for in one of two categories benign or malignant. Nodular thyroid disease is common and because of the associated risk of malignancy and hyper-function; these nodules have to be examined thoroughly. Hence diagnosing thyroid nodule malignancy in the early stage can mitigate the possibility of death. This paper presents an intelligent thyroid nodules malignancy diagnosis using texture information in run-length matrix derived from 2- level 2D wavelet transform bands (approximation and details). In this work, ANOVA test has been used to for feature selection to reduce for feature selection about 45 run-length features with and without wavelet generated, before feeding those features which...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Thyroid Nodule; SVM and DT classifiers; Computer-aided iagnosis; Feature extraction; Run-Length Matrix.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132019000100608
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