Rahim Aǧzi (Serviks) Kanserinde Öncü Lezyonlarin Evrişimsel Sinir Aǧlariyla Bölütlenmesi

Abdulkadir Albayrak; Asli Unlu; Nurullah Calik; Gokhan Bilgin; Ilknur Turkmen; Asli Cakir; Abdulkerim Capar; Behcet Ugur Toreyin; Lutfiye Durak Ata

doi:10.1109/SIU.2017.7960459

Rahim Aǧzi (Serviks) Kanserinde Öncü Lezyonlarin Evrişimsel Sinir Aǧlariyla Bölütlenmesi

Abdulkadir Albayrak^*
, Asli Unlu
, Nurullah Calik
, Gokhan Bilgin
, Ilknur Turkmen
, Asli Cakir
, Abdulkerim Capar
, Behcet Ugur Toreyin
, Lutfiye Durak Ata

^*Bu çalışma için yazışmadan sorumlu yazar

Yildiz Technical University
Istanbul Medipol University

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

15 Atıf (Scopus)

Özet

Cervical carcinoma is one of the frequently seen cancers in the world and in our country, develops from precursor lesions. These precursor lesions are analyzed by pathologists so that the diagnosis of the disease can be made. In this study, a system that performs automatic detection of pre-cancerous lesions was performed using the convolutional neural networks (CNNs). In the training phase, lesion recognition performance of the proposed system has reached 92%. Thereafter, whole image was segmented by using 60 × 60 pixel tiles during the training phase. After all, the precursor lesions were segmented with 81.71% Dice coefficient.

Tercüme edilen katkı başlığı	Segmentation of precursor lesions in cervical cancer using convolutional neural networks
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2017 25th Signal Processing and Communications Applications Conference, SIU 2017
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781509064946
DOI'lar	https://doi.org/10.1109/SIU.2017.7960459
Yayın durumu	Yayınlandı - 27 Haz 2017
Etkinlik	25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Türkiye Süre: 15 May 2017 → 18 May 2017

Yayın serisi

Adı	2017 25th Signal Processing and Communications Applications Conference, SIU 2017

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

???event.eventtypes.event.conference???	25th Signal Processing and Communications Applications Conference, SIU 2017
Ülke/Bölge	Türkiye
Şehir	Antalya
Periyot	15/05/17 → 18/05/17

Bibliyografik not

Publisher Copyright:
© 2017 IEEE.

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 3 Sağlık ve Kaliteli Yaşam

Keywords

Cervical cancer
convolutional neural networks
histopathological images
precursor lesions
segmentation

Belgeye Erişim

10.1109/SIU.2017.7960459

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Albayrak, A., Unlu, A., Calik, N., Bilgin, G., Turkmen, I., Cakir, A., Capar, A., Toreyin, B. U., & Ata, L. D. (2017). Rahim Aǧzi (Serviks) Kanserinde Öncü Lezyonlarin Evrişimsel Sinir Aǧlariyla Bölütlenmesi. In 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 Makale 7960459 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2017.7960459

Albayrak, Abdulkadir ; Unlu, Asli ; Calik, Nurullah et al. / Rahim Aǧzi (Serviks) Kanserinde Öncü Lezyonlarin Evrişimsel Sinir Aǧlariyla Bölütlenmesi. 2017 25th Signal Processing and Communications Applications Conference, SIU 2017. Institute of Electrical and Electronics Engineers Inc., 2017. (2017 25th Signal Processing and Communications Applications Conference, SIU 2017).

@inproceedings{e6a269fb34174fef867b6b530018c070,

title = "Rahim Aǧzi (Serviks) Kanserinde {\"O}nc{\"u} Lezyonlarin Evri{\c s}imsel Sinir Aǧlariyla B{\"o}l{\"u}tlenmesi",

abstract = "Cervical carcinoma is one of the frequently seen cancers in the world and in our country, develops from precursor lesions. These precursor lesions are analyzed by pathologists so that the diagnosis of the disease can be made. In this study, a system that performs automatic detection of pre-cancerous lesions was performed using the convolutional neural networks (CNNs). In the training phase, lesion recognition performance of the proposed system has reached 92\%. Thereafter, whole image was segmented by using 60 {\texttimes} 60 pixel tiles during the training phase. After all, the precursor lesions were segmented with 81.71\% Dice coefficient.",

keywords = "Cervical cancer, convolutional neural networks, histopathological images, precursor lesions, segmentation",

author = "Abdulkadir Albayrak and Asli Unlu and Nurullah Calik and Gokhan Bilgin and Ilknur Turkmen and Asli Cakir and Abdulkerim Capar and Toreyin, \{Behcet Ugur\} and Ata, \{Lutfiye Durak\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 25th Signal Processing and Communications Applications Conference, SIU 2017 ; Conference date: 15-05-2017 Through 18-05-2017",

year = "2017",

month = jun,

day = "27",

doi = "10.1109/SIU.2017.7960459",

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

series = "2017 25th Signal Processing and Communications Applications Conference, SIU 2017",

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

booktitle = "2017 25th Signal Processing and Communications Applications Conference, SIU 2017",

address = "United States",

}

Albayrak, A, Unlu, A, Calik, N, Bilgin, G, Turkmen, I, Cakir, A, Capar, A , Toreyin, BU & Ata, LD 2017, Rahim Aǧzi (Serviks) Kanserinde Öncü Lezyonlarin Evrişimsel Sinir Aǧlariyla Bölütlenmesi. in 2017 25th Signal Processing and Communications Applications Conference, SIU 2017., 7960459, 2017 25th Signal Processing and Communications Applications Conference, SIU 2017, Institute of Electrical and Electronics Engineers Inc., 25th Signal Processing and Communications Applications Conference, SIU 2017, Antalya, Türkiye, 15/05/17. https://doi.org/10.1109/SIU.2017.7960459

Rahim Aǧzi (Serviks) Kanserinde Öncü Lezyonlarin Evrişimsel Sinir Aǧlariyla Bölütlenmesi. / Albayrak, Abdulkadir; Unlu, Asli; Calik, Nurullah et al.
2017 25th Signal Processing and Communications Applications Conference, SIU 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7960459 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017).

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

TY - GEN

T1 - Rahim Aǧzi (Serviks) Kanserinde Öncü Lezyonlarin Evrişimsel Sinir Aǧlariyla Bölütlenmesi

AU - Albayrak, Abdulkadir

AU - Unlu, Asli

AU - Calik, Nurullah

AU - Bilgin, Gokhan

AU - Turkmen, Ilknur

AU - Cakir, Asli

AU - Capar, Abdulkerim

AU - Toreyin, Behcet Ugur

AU - Ata, Lutfiye Durak

PY - 2017/6/27

Y1 - 2017/6/27

N2 - Cervical carcinoma is one of the frequently seen cancers in the world and in our country, develops from precursor lesions. These precursor lesions are analyzed by pathologists so that the diagnosis of the disease can be made. In this study, a system that performs automatic detection of pre-cancerous lesions was performed using the convolutional neural networks (CNNs). In the training phase, lesion recognition performance of the proposed system has reached 92%. Thereafter, whole image was segmented by using 60 × 60 pixel tiles during the training phase. After all, the precursor lesions were segmented with 81.71% Dice coefficient.

AB - Cervical carcinoma is one of the frequently seen cancers in the world and in our country, develops from precursor lesions. These precursor lesions are analyzed by pathologists so that the diagnosis of the disease can be made. In this study, a system that performs automatic detection of pre-cancerous lesions was performed using the convolutional neural networks (CNNs). In the training phase, lesion recognition performance of the proposed system has reached 92%. Thereafter, whole image was segmented by using 60 × 60 pixel tiles during the training phase. After all, the precursor lesions were segmented with 81.71% Dice coefficient.

KW - Cervical cancer

KW - convolutional neural networks

KW - histopathological images

KW - precursor lesions

KW - segmentation

UR - https://www.scopus.com/pages/publications/85026294800

U2 - 10.1109/SIU.2017.7960459

DO - 10.1109/SIU.2017.7960459

M3 - Konferans katkısı

AN - SCOPUS:85026294800

T3 - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

BT - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 25th Signal Processing and Communications Applications Conference, SIU 2017

Y2 - 15 May 2017 through 18 May 2017

ER -

Albayrak A, Unlu A, Calik N, Bilgin G, Turkmen I, Cakir A et al. Rahim Aǧzi (Serviks) Kanserinde Öncü Lezyonlarin Evrişimsel Sinir Aǧlariyla Bölütlenmesi. In 2017 25th Signal Processing and Communications Applications Conference, SIU 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7960459. (2017 25th Signal Processing and Communications Applications Conference, SIU 2017). doi: 10.1109/SIU.2017.7960459

Rahim Aǧzi (Serviks) Kanserinde Öncü Lezyonlarin Evrişimsel Sinir Aǧlariyla Bölütlenmesi

Özet

Yayın serisi

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

Bibliyografik not

BM SKH

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap