Deep Learning Performance on Medical Image, Data and Signals

Pakize Erdoğmuş

doi:10.35377/saucis.02.01.541366

EN

Deep Learning Performance on Medical Image, Data and Signals

Abstract

Bu çalışmada, 2009-2019 yılları arasında Tıpta derin öğrenme ile ilgili yapılmış çalışmalar, derin öğrenmenin Tıbbı görüntü, veri ve sinyaller üzerine başarısını gözlemlemek için araştırılmıştır. Web of Science’tan elde edilen çalışmalar değerlendirilmiş ve atıf sayısına göre seçilmişlerdir. Çalışmalar yayın yılı, derin ağ yapısı, kullanılan veritabanı ve değerlendirme kriterine göre tablo haline getirilmiştir. The results have shown that the deep learning network structures, applied on fundus images, have attained nearly %99 percent accuracy. Sonuçlar retinal fundus görüntüleri uygulanan derin öğrenme ağ yapılarının doğruluklarının %99’lara ulaştığını göstemektedir. Bu aralıktaki çalışmaların çoğu radyoloji ve nükleer tıp alanında yapılmış olsa de sonuçlar henüz %80-90 aralığında görülmektedir. Bu sonuçlar bilgisayar destekli teşhis sistemlerinin çok yakın bir gelecekte tam performans ile kullanılacağını göstermektedir.

Keywords

edical data,deep learning,convolutional neural networks

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Details

Primary Language

English

Subjects

-

Journal Section

Review

Authors

Pakize Erdoğmuş ^*
0000-0003-2172-5767
Türkiye

Publication Date

April 30, 2019

Submission Date

March 18, 2019

Acceptance Date

April 24, 2019

Published in Issue

Year 1970 Volume: 2 Number: 1

DOI

https://doi.org/10.35377/saucis.02.01.541366

IZ

https://izlik.org/JA39JG62GK

Cite

RIS / Bibtex

APA

Erdoğmuş, P. (2019). Deep Learning Performance on Medical Image, Data and Signals. Sakarya University Journal of Computer and Information Sciences, 2(1), 28-40. https://doi.org/10.35377/saucis.02.01.541366

AMA

1.Erdoğmuş P. Deep Learning Performance on Medical Image, Data and Signals. SAUCIS. 2019;2(1):28-40. doi:10.35377/saucis.02.01.541366

Chicago

Erdoğmuş, Pakize. 2019. “Deep Learning Performance on Medical Image, Data and Signals”. Sakarya University Journal of Computer and Information Sciences 2 (1): 28-40. https://doi.org/10.35377/saucis.02.01.541366.

EndNote

Erdoğmuş P (April 1, 2019) Deep Learning Performance on Medical Image, Data and Signals. Sakarya University Journal of Computer and Information Sciences 2 1 28–40.

IEEE

[1]P. Erdoğmuş, “Deep Learning Performance on Medical Image, Data and Signals”, SAUCIS, vol. 2, no. 1, pp. 28–40, Apr. 2019, doi: 10.35377/saucis.02.01.541366.

ISNAD

Erdoğmuş, Pakize. “Deep Learning Performance on Medical Image, Data and Signals”. Sakarya University Journal of Computer and Information Sciences 2/1 (April 1, 2019): 28-40. https://doi.org/10.35377/saucis.02.01.541366.

JAMA

1.Erdoğmuş P. Deep Learning Performance on Medical Image, Data and Signals. SAUCIS. 2019;2:28–40.

MLA

Erdoğmuş, Pakize. “Deep Learning Performance on Medical Image, Data and Signals”. Sakarya University Journal of Computer and Information Sciences, vol. 2, no. 1, Apr. 2019, pp. 28-40, doi:10.35377/saucis.02.01.541366.

Vancouver

1.Pakize Erdoğmuş. Deep Learning Performance on Medical Image, Data and Signals. SAUCIS. 2019 Apr. 1;2(1):28-40. doi:10.35377/saucis.02.01.541366