Biyomedikal Görüntülerin Bölütlenmesine Yönelik Derin Öğrenmeye Dayalı Yöntemler: Bir Gözden Geçirme

Tuğba Şentürk; Fatma Latifoğlu

doi:10.55007/dufed.1181996

EN TR

Biyomedikal Görüntülerin Bölütlenmesine Yönelik Derin Öğrenmeye Dayalı Yöntemler: Bir Gözden Geçirme

Öz

Tıbbi görüntüleme alanında derin öğrenme modeli, mevcut yöntemlere kıyasla zaman ve performans açısından daha fazla katkıda bulunan bir modeldir. Görüntülerin otomatik olarak bölütlenmesini veya sınıflandırılmasını kapsar. Mevcut yöntemler ile tek katmanlı görüntüler üzerinden işlem yapılırken, derin öğrenme modeli ile çok katmanlı görüntüler üzerinden çalışma performansı daha yüksek ve daha kesin sonuçlar elde edilebilir. Son zamanlardaki gelişmeler, bu yaklaşımların tıbbi görüntülerdeki örüntülerin tanımlanması ve nicelendirilmesinde oldukça etkili olduğunu göstermektedir. Bu ilerlemelerin en önemli nedeni, derin öğrenme yaklaşımlarının doğrudan görüntülerden hiyerarşik özellik temsilleri elde etme yeteneğidir. Bu nedenle, derin öğrenme yöntemlerinin tıbbi görüntü işleme ve bölütleme alanındaki uygulamaları hızla en son teknolojiye dönüşmektedir ve klinik uygulamalarda performans iyileştirmeleri sağlamaktadır. Bu makalede, derin öğrenme yaklaşımlarının biyomedikal görüntülerin bölütlenmesi için uygulamaları, yöntemleri ve içerikleri genel bir bakış açısıyla incelenmiştir.

Anahtar Kelimeler

Görüntüleme, Biyomedikal görüntüler, Derin öğrenme, Biyomedikal görüntü bülütleme, Tıbbi görüntü işleme

Kaynakça

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Ayrıntılar

Birincil Dil

Türkçe

Konular

Mühendislik

Bölüm

Derleme

Yazarlar

Tuğba Şentürk ^*
0000-0002-1323-5752
Türkiye

Fatma Latifoğlu
0000-0003-2018-9616
Türkiye

Erken Görünüm Tarihi

6 Haziran 2023

Yayımlanma Tarihi

10 Haziran 2023

Gönderilme Tarihi

29 Eylül 2022

Kabul Tarihi

4 Mayıs 2023

Yayımlandığı Sayı

Yıl 2023 Cilt: 12 Sayı: 1

DOI

https://doi.org/10.55007/dufed.1181996

IZ

https://izlik.org/JA95BD84NH

APA

Şentürk, T., & Latifoğlu, F. (2023). Biyomedikal Görüntülerin Bölütlenmesine Yönelik Derin Öğrenmeye Dayalı Yöntemler: Bir Gözden Geçirme. Dicle Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 12(1), 161-187. https://doi.org/10.55007/dufed.1181996

AMA

1.Şentürk T, Latifoğlu F. Biyomedikal Görüntülerin Bölütlenmesine Yönelik Derin Öğrenmeye Dayalı Yöntemler: Bir Gözden Geçirme. DÜFED. 2023;12(1):161-187. doi:10.55007/dufed.1181996

Chicago

Şentürk, Tuğba, ve Fatma Latifoğlu. 2023. “Biyomedikal Görüntülerin Bölütlenmesine Yönelik Derin Öğrenmeye Dayalı Yöntemler: Bir Gözden Geçirme”. Dicle Üniversitesi Fen Bilimleri Enstitüsü Dergisi 12 (1): 161-87. https://doi.org/10.55007/dufed.1181996.

EndNote

Şentürk T, Latifoğlu F (01 Haziran 2023) Biyomedikal Görüntülerin Bölütlenmesine Yönelik Derin Öğrenmeye Dayalı Yöntemler: Bir Gözden Geçirme. Dicle Üniversitesi Fen Bilimleri Enstitüsü Dergisi 12 1 161–187.

IEEE

[1]T. Şentürk ve F. Latifoğlu, “Biyomedikal Görüntülerin Bölütlenmesine Yönelik Derin Öğrenmeye Dayalı Yöntemler: Bir Gözden Geçirme”, DÜFED, c. 12, sy 1, ss. 161–187, Haz. 2023, doi: 10.55007/dufed.1181996.

ISNAD

Şentürk, Tuğba - Latifoğlu, Fatma. “Biyomedikal Görüntülerin Bölütlenmesine Yönelik Derin Öğrenmeye Dayalı Yöntemler: Bir Gözden Geçirme”. Dicle Üniversitesi Fen Bilimleri Enstitüsü Dergisi 12/1 (01 Haziran 2023): 161-187. https://doi.org/10.55007/dufed.1181996.

JAMA

1.Şentürk T, Latifoğlu F. Biyomedikal Görüntülerin Bölütlenmesine Yönelik Derin Öğrenmeye Dayalı Yöntemler: Bir Gözden Geçirme. DÜFED. 2023;12:161–187.

MLA

Şentürk, Tuğba, ve Fatma Latifoğlu. “Biyomedikal Görüntülerin Bölütlenmesine Yönelik Derin Öğrenmeye Dayalı Yöntemler: Bir Gözden Geçirme”. Dicle Üniversitesi Fen Bilimleri Enstitüsü Dergisi, c. 12, sy 1, Haziran 2023, ss. 161-87, doi:10.55007/dufed.1181996.

Vancouver

1.Tuğba Şentürk, Fatma Latifoğlu. Biyomedikal Görüntülerin Bölütlenmesine Yönelik Derin Öğrenmeye Dayalı Yöntemler: Bir Gözden Geçirme. DÜFED. 01 Haziran 2023;12(1):161-87. doi:10.55007/dufed.1181996

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Biyomedikal Görüntülerin Bölütlenmesine Yönelik Derin Öğrenmeye Dayalı Yöntemler: Bir Gözden Geçirme

Deep Learning Based Methods for Biomedical Image Segmentation: A Review

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Biyomedikal Görüntülerin Bölütlenmesine Yönelik Derin Öğrenmeye Dayalı Yöntemler: Bir Gözden Geçirme

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Cited By

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