A smart dermoscope design using artificial neural network

Serkan Turkeli; Mehmet Salih Oguz; Salim Burak Abay; Tufan Kumbasar; Hüseyin Tanzer Atay; Kenan Kaan Kurt

doi:10.1109/IDAP.2017.8090211

A smart dermoscope design using artificial neural network

Serkan Turkeli
, Mehmet Salih Oguz
, Salim Burak Abay
, Tufan Kumbasar
, Hüseyin Tanzer Atay
, Kenan Kaan Kurt

Kontrol ve Otomasyon Mühendisliği Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

5 Atıf (Scopus)

Özet

Melanoma is certainly the deadliest skin cancer. Clinicians try to detect melanoma at early stages in order to increase the successful treatment rate by using dermoscopes. We have designed a digital dermoscope that is both mobile and highly sensitive for automatic classification. We developed an accurate image processing software and a learning program that uses artificial neural network learning algorithm. A dataset of 200 images were used for training and 12 features were extracted. We considered common nevus, atypical nevus and melanoma as our diagnostic results. By doing that, we acquire three sensitivity and specifity values for each of the outputs. For the common nevus detection, SE = 100%, SP = 98.3%, for the atypical nevus detection, SE = 95%, SP = 97.5%, for the melanoma detection, SE = 92.5%, SP = 98.75%.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	IDAP 2017 - International Artificial Intelligence and Data Processing Symposium
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781538618806
DOI'lar	https://doi.org/10.1109/IDAP.2017.8090211
Yayın durumu	Yayınlandı - 30 Eki 2017
Etkinlik	2017 International Artificial Intelligence and Data Processing Symposium, IDAP 2017 - Malatya, Turkey Süre: 16 Eyl 2017 → 17 Eyl 2017

Yayın serisi

Adı	IDAP 2017 - International Artificial Intelligence and Data Processing Symposium

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???event.eventtypes.event.conference???	2017 International Artificial Intelligence and Data Processing Symposium, IDAP 2017
Ülke/Bölge	Turkey
Şehir	Malatya
Periyot	16/09/17 → 17/09/17

Bibliyografik not

Publisher Copyright:
© 2017 IEEE.

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Belgeye Erişim

10.1109/IDAP.2017.8090211

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Turkeli, S., Oguz, M. S., Abay, S. B., Kumbasar, T., Atay, H. T., & Kurt, K. K. (2017). A smart dermoscope design using artificial neural network. In IDAP 2017 - International Artificial Intelligence and Data Processing Symposium Makale 8090211 (IDAP 2017 - International Artificial Intelligence and Data Processing Symposium). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IDAP.2017.8090211

@inproceedings{f15f9e6e07f840a296e7960fadb0fc83,

title = "A smart dermoscope design using artificial neural network",

abstract = "Melanoma is certainly the deadliest skin cancer. Clinicians try to detect melanoma at early stages in order to increase the successful treatment rate by using dermoscopes. We have designed a digital dermoscope that is both mobile and highly sensitive for automatic classification. We developed an accurate image processing software and a learning program that uses artificial neural network learning algorithm. A dataset of 200 images were used for training and 12 features were extracted. We considered common nevus, atypical nevus and melanoma as our diagnostic results. By doing that, we acquire three sensitivity and specifity values for each of the outputs. For the common nevus detection, SE = 100\%, SP = 98.3\%, for the atypical nevus detection, SE = 95\%, SP = 97.5\%, for the melanoma detection, SE = 92.5\%, SP = 98.75\%.",

keywords = "Classification, Dermoscope, Feature selection, Melanoma, Nevus, Segmentation",

author = "Serkan Turkeli and Oguz, \{Mehmet Salih\} and Abay, \{Salim Burak\} and Tufan Kumbasar and Atay, \{H{\"u}seyin Tanzer\} and Kurt, \{Kenan Kaan\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Artificial Intelligence and Data Processing Symposium, IDAP 2017 ; Conference date: 16-09-2017 Through 17-09-2017",

year = "2017",

month = oct,

day = "30",

doi = "10.1109/IDAP.2017.8090211",

language = "English",

series = "IDAP 2017 - International Artificial Intelligence and Data Processing Symposium",

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

booktitle = "IDAP 2017 - International Artificial Intelligence and Data Processing Symposium",

address = "United States",

}

Turkeli, S, Oguz, MS, Abay, SB, Kumbasar, T, Atay, HT & Kurt, KK 2017, A smart dermoscope design using artificial neural network. in IDAP 2017 - International Artificial Intelligence and Data Processing Symposium., 8090211, IDAP 2017 - International Artificial Intelligence and Data Processing Symposium, Institute of Electrical and Electronics Engineers Inc., 2017 International Artificial Intelligence and Data Processing Symposium, IDAP 2017, Malatya, Turkey, 16/09/17. https://doi.org/10.1109/IDAP.2017.8090211

A smart dermoscope design using artificial neural network. / Turkeli, Serkan; Oguz, Mehmet Salih; Abay, Salim Burak et al.
IDAP 2017 - International Artificial Intelligence and Data Processing Symposium. Institute of Electrical and Electronics Engineers Inc., 2017. 8090211 (IDAP 2017 - International Artificial Intelligence and Data Processing Symposium).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - A smart dermoscope design using artificial neural network

AU - Turkeli, Serkan

AU - Oguz, Mehmet Salih

AU - Abay, Salim Burak

AU - Kumbasar, Tufan

AU - Atay, Hüseyin Tanzer

AU - Kurt, Kenan Kaan

PY - 2017/10/30

Y1 - 2017/10/30

N2 - Melanoma is certainly the deadliest skin cancer. Clinicians try to detect melanoma at early stages in order to increase the successful treatment rate by using dermoscopes. We have designed a digital dermoscope that is both mobile and highly sensitive for automatic classification. We developed an accurate image processing software and a learning program that uses artificial neural network learning algorithm. A dataset of 200 images were used for training and 12 features were extracted. We considered common nevus, atypical nevus and melanoma as our diagnostic results. By doing that, we acquire three sensitivity and specifity values for each of the outputs. For the common nevus detection, SE = 100%, SP = 98.3%, for the atypical nevus detection, SE = 95%, SP = 97.5%, for the melanoma detection, SE = 92.5%, SP = 98.75%.

AB - Melanoma is certainly the deadliest skin cancer. Clinicians try to detect melanoma at early stages in order to increase the successful treatment rate by using dermoscopes. We have designed a digital dermoscope that is both mobile and highly sensitive for automatic classification. We developed an accurate image processing software and a learning program that uses artificial neural network learning algorithm. A dataset of 200 images were used for training and 12 features were extracted. We considered common nevus, atypical nevus and melanoma as our diagnostic results. By doing that, we acquire three sensitivity and specifity values for each of the outputs. For the common nevus detection, SE = 100%, SP = 98.3%, for the atypical nevus detection, SE = 95%, SP = 97.5%, for the melanoma detection, SE = 92.5%, SP = 98.75%.

KW - Classification

KW - Dermoscope

KW - Feature selection

KW - Melanoma

KW - Nevus

KW - Segmentation

UR - https://www.scopus.com/pages/publications/85039912655

U2 - 10.1109/IDAP.2017.8090211

DO - 10.1109/IDAP.2017.8090211

M3 - Conference contribution

AN - SCOPUS:85039912655

T3 - IDAP 2017 - International Artificial Intelligence and Data Processing Symposium

BT - IDAP 2017 - International Artificial Intelligence and Data Processing Symposium

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 International Artificial Intelligence and Data Processing Symposium, IDAP 2017

Y2 - 16 September 2017 through 17 September 2017

ER -

Turkeli S, Oguz MS, Abay SB, Kumbasar T, Atay HT, Kurt KK. A smart dermoscope design using artificial neural network. In IDAP 2017 - International Artificial Intelligence and Data Processing Symposium. Institute of Electrical and Electronics Engineers Inc. 2017. 8090211. (IDAP 2017 - International Artificial Intelligence and Data Processing Symposium). doi: 10.1109/IDAP.2017.8090211

A smart dermoscope design using artificial neural network

Özet

Yayın serisi

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Bibliyografik not

BM SKH

Belgeye Erişim

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