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dc.contributor.authorTorab-Miandoab, A
dc.contributor.authorRezaei-Hachesu, P
dc.contributor.authorSamad, T
dc.contributor.authorHabibi-Chenaran, S
dc.date.accessioned2018-08-26T08:57:31Z
dc.date.available2018-08-26T08:57:31Z
dc.date.issued2017
dc.identifier.urihttp://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/54580
dc.description.abstractImage processing is a technique that can be applied on medical images for detecting abnormalities such as tumors. Due to risk of malignancy, detecting and diagnosing of cold nodules in thyroid gland are important. We applied Image Enhancement (circular averaging filter, morphological opening by diamond structure element, division of results, transforming colorful image in to gray image), Image segmentation (thresholding) and feature extraction (hill climbing algorithm) to determine cold thyroid nodules automatically with high accuracy. é 2017 IEEE.
dc.language.isoEnglish
dc.relation.ispartofInternational Conference on Current Research in Computer Science and Information Technology, ICCIT 2017
dc.relation.ispartof2017 International Conference on Current Research in Computer Science and Information Technology, ICCIT 2017
dc.subjectDiagnosis
dc.subjectImage segmentation
dc.subjectMedical imaging
dc.subjectDiamond structures
dc.subjectFeature Extractioncomponent
dc.subjectHill climbing
dc.subjectHill climbing algorithms
dc.subjectImage processing technique
dc.subjectMorphological opening
dc.subjectThyroid cancers
dc.subjectThyroid nodule
dc.subjectImage processing
dc.titleImage processing technique for determining cold thyroid nodules
dc.typeArticle
dc.citation.spage133
dc.citation.epage136
dc.citation.indexScopus
dc.identifier.DOIhttps://doi.org/10.1109/CRCSIT.2017.7965547


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