Výsledky vyhledávání - "Jonas Guzaitis"

Algorithm for automated foot detection in thermal and optical Images for temperature asymmetry analysis

Autor: Renaldas Raišutis, Jonas Guzaitis, Agnė Kadusauskienė

Publikováno v: Electronics, Basel : MDPI, 2021, vol. 10, iss. 5, art. no. 571, p. 1-14
Electronics
Volume 10
Issue 5
Electronics, Vol 10, Iss 571, p 571 (2021)

Infrared thermography has been proven to be an effective non-invasive method in diabetic foot ulcer prevention, yet current image processing algorithms are inaccurate and impractical for clinical work. The aim of this study was to investigate the acc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98cb6e86f7feba3e8099b17c1b7ebd93
https://library.lsmuni.lt/LSMU:ELABAPDB85793805&prefLang=en_US

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Verification of new method for automatic thickness measurement of melanocytic skin tumours by high frequency ultrasound

Autor: Loreta Pilipaityte, Jonas Guzaitis, Gintare Linkeviciute, Kristina Sakalauskiene, Skaidra Valiukeviciene, Jurgita Makstiene, Renaldas Raišutis

Publikováno v: Journal of Vibroengineering, Vol 20, Iss 1, Pp 651-661 (2018)
Journal of vibroengineering, Kaunas : JVE International, 2018, vol. 20, iss. 1, art. no. 2806, p. 651-661

Histological thickness of cutaneous melanoma (CM), known as the Breslow index (pT), represents the most important prognostic factor. The objective of this study is to evaluate the reliability of automatic algorithm based on B-scan image processing of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe5d73f6337f050d1fcb21660f1ee614
https://doi.org/10.21595/jve.2017.19475

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An Efficient Technique to Detect Visual Defects in Particleboards

Autor: Jonas Guzaitis, Antanas Verikas

Publikováno v: Informatica. 19:363-376

This paper is concerned with the problem of image analysis based detection of local defects embedded in particleboard surfaces. Though simple, but efficient technique developed is based on the analysis of the discrete probability distribution of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c96452d27873d7391326c55c13872349
https://doi.org/10.15388/informatica.2008.218

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A general framework for designing a fuzzy rule-based classifier

Autor: Adas Gelzinis, Marija Bacauskiene, Jonas Guzaitis, Antanas Verikas

This paper presents a general framework for designing a fuzzyrule-based classifier. Structure and parameters of the classifierare evolved through a two-stage genetic search. To reduce the searchspace, the classifier structure is constrained by a tree

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1afb6158a190519152e4e13fc088a58b
http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-5825

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A Framework for Designing a Fuzzy Rule-Based Classifier

Autor: Marija Bacauskiene, Jonas Guzaitis, Antanas Verikas, Adas Gelzinis

Publikováno v: Algorithmic Decision Theory ISBN: 9783642044274
ADT

This paper is concerned with a general framework for designing a fuzzy rule-based classifier. Structure and parameters of the classifier are evolved through a two-stage genetic search. The classifier structure is constrained by a tree created using t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a00b157500a9b50d04e02ee6bac36cf6
https://doi.org/10.1007/978-3-642-04428-1_38

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