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

Translated title of the contribution: Segmentation of precursor lesions in cervical cancer using convolutional neural networks

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

^*Corresponding author for this work

Yildiz Technical University
Istanbul Medipol University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 Citations (Scopus)

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 × 60 pixel tiles during the training phase. After all, the precursor lesions were segmented with 81.71% Dice coefficient.

Translated title of the contribution	Segmentation of precursor lesions in cervical cancer using convolutional neural networks
Original language	Turkish
Title of host publication	2017 25th Signal Processing and Communications Applications Conference, SIU 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509064946
DOIs	https://doi.org/10.1109/SIU.2017.7960459
Publication status	Published - 27 Jun 2017
Event	25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Turkey Duration: 15 May 2017 → 18 May 2017

Publication series

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

Conference

Conference	25th Signal Processing and Communications Applications Conference, SIU 2017
Country/Territory	Turkey
City	Antalya
Period	15/05/17 → 18/05/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1109/SIU.2017.7960459

Cite this

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 Article 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, Turkey, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

Abstract

Publication series

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Bibliographical note

UN SDGs

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