Publication:
Comparison of Multi Layered Percepton and Radial Basis Function Classification Performance of Lung Cancer Data

cris.author.scopus-author-id 35810354700
cris.author.scopus-author-id 56606264400
cris.author.scopus-author-id 57201503912
cris.author.scopus-author-id 55987982900
cris.author.scopus-author-id 57216148950
cris.virtual.department Universiti Malaysia Perlis
cris.virtualsource.department eab44b78-847d-4a08-94b1-8adbaff1a5c4
dc.contributor.author Jusman Y.
dc.contributor.author Indra Z.
dc.contributor.author Salambue R.
dc.contributor.author Siti Nurul Aqmariah Mohd Kanafiah
dc.contributor.author Nurkholid M.A.F.
dc.date.accessioned 2024-10-03T08:52:07Z
dc.date.available 2024-10-03T08:52:07Z
dc.date.issued 2020-03-10
dc.description.abstract Lung cancer was the most commonly diagnosed cancer as well as the leading cause of cancer death in males in 2008 globally. The way used to detect lung cancer are through examination chest X-ray, Computed Tomography (CT) scan, and Magnetic Resonance Imaging results. The accurate and efisien analysis of the imaging results are important to ensure the minimal time processing. A computed assisted diagnosis system is the crusial research which can conduct the analysis efficiently and efectively. This paper aimed to compare the classification performances of Multi Layered Perceptron (MLP) and Radial Basis Function (RBF) techniques. The public lung cancer datasets was used as training and testing data in the classfication techniques. Ten fold cross validation was used for dividing data before classifying techniques. The accuracy performances are compared to check a better technique for classification step.
dc.identifier.doi 10.1088/1742-6596/1471/1/012043
dc.identifier.scopus 2-s2.0-85082715578
dc.identifier.uri https://hdl.handle.net/20.500.14170/8857
dc.language.iso en
dc.relation.grantno undefined
dc.relation.ispartof Journal of Physics: Conference Series
dc.relation.ispartofseries Journal of Physics: Conference Series
dc.relation.issn 17426588
dc.rights open access
dc.title Comparison of Multi Layered Percepton and Radial Basis Function Classification Performance of Lung Cancer Data
dc.type Conference Proceeding
dspace.entity.type Publication
oaire.citation.endPage 7
oaire.citation.issue 1
oaire.citation.startPage 1
oaire.citation.volume 1471
oairecerif.affiliation.orgunit Universitas Muhammadiyah Yogyakarta
oairecerif.affiliation.orgunit Universitas Abdurrab
oairecerif.affiliation.orgunit Universitas Riau
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universitas Muhammadiyah Yogyakarta
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation #PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.citation.number 12043
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person.identifier.orcid #PLACEHOLDER_PARENT_METADATA_VALUE#
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person.identifier.scopus-author-id 35810354700
person.identifier.scopus-author-id 56606264400
person.identifier.scopus-author-id 57201503912
person.identifier.scopus-author-id 55987982900
person.identifier.scopus-author-id 57216148950
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