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Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Article . 2020 . Peer-reviewed
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Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Article
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Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Article . 2020
Data sources: DOAJ
https://dx.doi.org/10.24176/si...
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PENENTUAN PENYAKIT PARU DENGAN MENGGUNAKAN JARINGAN SARAF TIRUAN

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 30 Apr 2020Publisher:Universitas Muria KudusJournal:Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, volume 11, pages 233-240 (issn: 2252-4983, eissn: 2549-3108, Copyright policy )
Authors: Latifah Listyalina; Evrita Lusiana Utari; Desty Ervira Puspaningtyas;

doi: 10.24176/simet.v11i1.3667

PENENTUAN PENYAKIT PARU DENGAN MENGGUNAKAN JARINGAN SARAF TIRUAN

Abstract

Organisasi Kesehatan Dunia (WHO) dan Organisasi Penanggulangan Kanker Dunia (UICC) memprediksikan terjadinya peningkatan kejadian kanker sebesar 300% pada tahun 2030. Salah satu jenis kanker ialah kanker paru. Deteksi kanker paru dapat dilakukan menggunakan rontgen. Diagnosis kanker paru dapat dilakukan melalui pengamatan hasil dari citra foto rontgen secara teliti. Otomasi dari hasil citra X-Ray dapat digunakan oleh praktisi kesehatan dalam pendeteksian kanker paru. Perancangan perangkat lunak jaringan saraf tiruan dari citra foto rontgen dilakukan melalui beberapa langkah yaitu pengolahan citra, seperti median filter, ekualisasi histogram adaptif, dan transformasi kosinus diskrit sebagai ekstraksi fitur citra yang selanjutnya dijadikan masukan jaringan saraf tiruan serta dengan didahului oleh proses pra pengolahan citra. Tingkat akurasi pendeteksian kanker paru melalui citra foto rontgen paru sebesar 72,97%.

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Keywords

Technology, citra digital, kernel, T, generate and test, filter median, breadth search, TA1-2040, Engineering (General). Civil engineering (General), salt and pepper, depth search

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold