Lezyon Kenarlarinin Fourier Tanimlayicilari Kullanilarak Cilt Lezyonlarinin Siniflandirilmasi

Enes Albay; Mustafa Kamaşak

doi:10.1109/TIPTEKNO.2015.7374547

Lezyon Kenarlarinin Fourier Tanimlayicilari Kullanilarak Cilt Lezyonlarinin Siniflandirilmasi

Enes Albay
, Mustafa Kamaşak

Bilgisayar Mühendisliği Bölümü

Istanbul Technical University

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

7 Atıf (Scopus)

Özet

Between cancer types, Melanom is the one of the most deadliest form. Although, dermoscopy increased rate of diagnosis of the disease, most of the time detection of the disease depends on experience of physicist. There is great effort to diagnosis of the disease using computerized techniques. In this paper, for that purpose, we propose new method that uses fourier descriptors. After the segmentation of dermoscopic images, they are classified using extracted fourier descriptors of lesion border.

Tercüme edilen katkı başlığı	Skin lesion classification using fourier descriptors of lesion borders
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2015 Medical Technologies National Conference, TIPTEKNO 2015
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781467377652
DOI'lar	https://doi.org/10.1109/TIPTEKNO.2015.7374547
Yayın durumu	Yayınlandı - 6 Oca 2016
Etkinlik	Medical Technologies National Conference, TIPTEKNO 2015 - Bodrum, Türkiye Süre: 15 Eki 2015 → 18 Eki 2015

Yayın serisi

Adı	2015 Medical Technologies National Conference, TIPTEKNO 2015

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	Medical Technologies National Conference, TIPTEKNO 2015
Ülke/Bölge	Türkiye
Şehir	Bodrum
Periyot	15/10/15 → 18/10/15

Bibliyografik not

Publisher Copyright:
© 2015 IEEE.

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 3 Sağlık ve Kaliteli Yaşam

Keywords

artificial neural networks
classification
dermoscopy
fourier descriptors
melanoma

Belgeye Erişim

10.1109/TIPTEKNO.2015.7374547

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Albay, E., & Kamaşak, M. (2016). Lezyon Kenarlarinin Fourier Tanimlayicilari Kullanilarak Cilt Lezyonlarinin Siniflandirilmasi. In 2015 Medical Technologies National Conference, TIPTEKNO 2015 Makale 7374547 (2015 Medical Technologies National Conference, TIPTEKNO 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TIPTEKNO.2015.7374547

@inproceedings{9432245bf01b42b18a4a7d90caac1164,

title = "Lezyon Kenarlarinin Fourier Tanimlayicilari Kullanilarak Cilt Lezyonlarinin Siniflandirilmasi",

abstract = "Between cancer types, Melanom is the one of the most deadliest form. Although, dermoscopy increased rate of diagnosis of the disease, most of the time detection of the disease depends on experience of physicist. There is great effort to diagnosis of the disease using computerized techniques. In this paper, for that purpose, we propose new method that uses fourier descriptors. After the segmentation of dermoscopic images, they are classified using extracted fourier descriptors of lesion border.",

keywords = "artificial neural networks, classification, dermoscopy, fourier descriptors, melanoma",

author = "Enes Albay and Mustafa Kama{\c s}ak",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; Medical Technologies National Conference, TIPTEKNO 2015 ; Conference date: 15-10-2015 Through 18-10-2015",

year = "2016",

month = jan,

day = "6",

doi = "10.1109/TIPTEKNO.2015.7374547",

language = "T{\"u}rk{\c c}e",

series = "2015 Medical Technologies National Conference, TIPTEKNO 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2015 Medical Technologies National Conference, TIPTEKNO 2015",

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}

Albay, E & Kamaşak, M 2016, Lezyon Kenarlarinin Fourier Tanimlayicilari Kullanilarak Cilt Lezyonlarinin Siniflandirilmasi. in 2015 Medical Technologies National Conference, TIPTEKNO 2015., 7374547, 2015 Medical Technologies National Conference, TIPTEKNO 2015, Institute of Electrical and Electronics Engineers Inc., Medical Technologies National Conference, TIPTEKNO 2015, Bodrum, Türkiye, 15/10/15. https://doi.org/10.1109/TIPTEKNO.2015.7374547

Lezyon Kenarlarinin Fourier Tanimlayicilari Kullanilarak Cilt Lezyonlarinin Siniflandirilmasi. / Albay, Enes; Kamaşak, Mustafa.
2015 Medical Technologies National Conference, TIPTEKNO 2015. Institute of Electrical and Electronics Engineers Inc., 2016. 7374547 (2015 Medical Technologies National Conference, TIPTEKNO 2015).

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

TY - GEN

T1 - Lezyon Kenarlarinin Fourier Tanimlayicilari Kullanilarak Cilt Lezyonlarinin Siniflandirilmasi

AU - Albay, Enes

AU - Kamaşak, Mustafa

PY - 2016/1/6

Y1 - 2016/1/6

N2 - Between cancer types, Melanom is the one of the most deadliest form. Although, dermoscopy increased rate of diagnosis of the disease, most of the time detection of the disease depends on experience of physicist. There is great effort to diagnosis of the disease using computerized techniques. In this paper, for that purpose, we propose new method that uses fourier descriptors. After the segmentation of dermoscopic images, they are classified using extracted fourier descriptors of lesion border.

AB - Between cancer types, Melanom is the one of the most deadliest form. Although, dermoscopy increased rate of diagnosis of the disease, most of the time detection of the disease depends on experience of physicist. There is great effort to diagnosis of the disease using computerized techniques. In this paper, for that purpose, we propose new method that uses fourier descriptors. After the segmentation of dermoscopic images, they are classified using extracted fourier descriptors of lesion border.

KW - artificial neural networks

KW - classification

KW - dermoscopy

KW - fourier descriptors

KW - melanoma

UR - https://www.scopus.com/pages/publications/84964255571

U2 - 10.1109/TIPTEKNO.2015.7374547

DO - 10.1109/TIPTEKNO.2015.7374547

M3 - Konferans katkısı

AN - SCOPUS:84964255571

T3 - 2015 Medical Technologies National Conference, TIPTEKNO 2015

BT - 2015 Medical Technologies National Conference, TIPTEKNO 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - Medical Technologies National Conference, TIPTEKNO 2015

Y2 - 15 October 2015 through 18 October 2015

ER -

Lezyon Kenarlarinin Fourier Tanimlayicilari Kullanilarak Cilt Lezyonlarinin Siniflandirilmasi

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

BM SKH

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap