Autors: Vetova, S. V.
Title: Thyroid image classification algorithm using DT CWT (Open Access)
Keywords: 10.1063/1.5133484

Abstract: The following paper presents an algorithm for thyroid image classification. To design it we used the Dual-Tree Complex Wavelet Transform for image feature extraction and Hausdorff distance to compute similarity distance between the feature vector of the query-image and all the image feature vectors stored in the image database. Then, we performed experiments to estimate the effectiveness of the proposed algorithm which showed high values of precision



    AIP Conference Proceedings. 45th International Conference on Application of Mathematics in Engineering and Economics, AMEE 2019; Sozopol; Bulgaria; 7 June 2019 through 13 June 2019, vol. 2172, issue 45, pp. Article number 020002, 2019, Bulgaria, American Institute of Physics Inc., DOI 10.1063/1.5133484

    Copyright Author(s).

    Цитирания (Citation/s):
    1. Preeti S. Topannavar1, P. S. Topannavav,Dr. D. M. Yadav,Dr. V. Bendre, Rotational Wavelet Filters for Analysis of Brain MRI in Detection of Alzheimer’s Disease, Turkish Journal of Computer and Mathematics Education, Vol.12 No.6 (2021), 2817-2825 - 2021 - в издания, индексирани в Scopus или Web of Science

    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus