Meme Manyetik Rezonans Görüntülemede (MRG) Lezyon Tespiti, Yalancı Pozitif Ve Yalancı Negatif Bulguların Azaltılmasına Yönelik Yazılım Geliştirilmesi

ÇETİNEL, Gökçen; AYGÜN, Fuldem Mutlu

Meme Manyetik Rezonans Görüntülemede (MRG) Lezyon Tespiti, Yalancı Pozitif Ve Yalancı Negatif Bulguların Azaltılmasına Yönelik Yazılım Geliştirilmesi

Yürütücü

Gökçen ÇETİNEL (SAKARYA ÜNİVERSİTESİ)

Araştırmacı(lar)

Fuldem Mutlu AYGÜN (SAKARYA ÜNİVERSİTESİ)

1 1

Proje Grubu: EEEAG Sayfa Sayısı: 113 Proje No: 118E201 Proje Bitiş Tarihi: 15.10.2019 Metin Dili: Türkçe İndeks Tarihi: 05-11-2020

Meme Manyetik Rezonans Görüntülemede (MRG) Lezyon Tespiti, Yalancı Pozitif Ve Yalancı Negatif Bulguların Azaltılmasına Yönelik Yazılım Geliştirilmesi

Öz:

Projenin amacı, meme kanserinin teşhisinde yaygın olarak tercih edilen manyetik rezonans görüntüleme sistemi üzerinden alınan görüntüleri kullanarak yazılım tabanlı bir meme lezyon tespit ve sınıflandırma sistemi geliştirmektir. Geliştirilen sistem uzmanlar için yazılım tabanlı bir karar destek sistemi olarak düşünülebilir. Belirtilen amaca ulaşmak için sistemde beş temel adım gerçekleştirilmiştir. Bu adımlardan her biri çeşitli işaret işleme ve görüntü işleme yöntemleri içermektedir. Projede gerçekleştirilen beş temel adım sırasıyla veri tabanı oluşturulması, meme lezyonlarının tespit edilmesi, lezyon özelliklerinin çıkarılması, en etkili özelliklerin belirlenmesi ve karar adımlarıdır. Veri tabanı oluşturulması adımında uzman eşliğinde MRG cihazı ile yapılan çekimlerden en uygun görüntüler seçilmiştir. Ayrıca, görüntüde oluşabilecek bozunumları gidermek için filtre tabanlı bir ön işleme adımı uygulanmıştır. Daha sonra, meme lezyonlarının tespit edilmesi amacıyla iki aşamalı bir segmentasyon süreci uygulanmıştır. İlk aşama lezyon içerebilecek meme bölgesinin tespit edilmesi, ikinci aşama meme bölgesinden lezyonun bulunduğu bölgenin elde edilmesidir. Meme bölgesi tespitinde yerel adaptif eşikleme, bağlı bileşen analizi, yatay iz düşüm ve maskeleme teknikleri sırasıyla kullanılmıştır. Lezyon tespiti için Otsu, bölge büyütme, bulanık c-ortalamalar, k-ortalamalar, aktif sınırlar ve Markov rastgele alanlar yöntemleri görüntülere uygulanmıştır. Lezyonlara ait özelliklerin çıkarılması adımında ise histogram, şekil, doku ve dönüşüm uzayı özellikleri hesaplanmıştır. Toplamda her bir lezyon için 108 özellik belirlenmiş ve özellik seçme adımında etkisi az olan özellikler Fisher skoru yöntemi ile özellik vektöründen atılmıştır. Projenin son adımı karar aşaması olan sınıflandırma adımıdır. Bu adımda k en yakın komşuluk, destek vektör makineleri, rastgele orman, naif Bayes teknikleri kullanılmıştır. Elde edilen sonuçlara göre proje kapsamında hazırlanan yazılım meme lezyonlarının tespitinde %91±0,06, iyi huylu kötü huylu lezyon ayrımında %90,36±0,069, lezyon alt gruplarının ayrımında ise %84,3±0,24 doğruluk sağlamıştır.

Anahtar Kelime: lezyon sınıflandırma özellik seçme özellik çıkarma segmentasyon lezyon tespiti meme kanseri

Erişim Türü: Erişime Açık

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APA	ÇETİNEL G, AYGÜN F (2019). Meme Manyetik Rezonans Görüntülemede (MRG) Lezyon Tespiti, Yalancı Pozitif Ve Yalancı Negatif Bulguların Azaltılmasına Yönelik Yazılım Geliştirilmesi. , 1 - 113.
Chicago	ÇETİNEL Gökçen,AYGÜN Fuldem Mutlu Meme Manyetik Rezonans Görüntülemede (MRG) Lezyon Tespiti, Yalancı Pozitif Ve Yalancı Negatif Bulguların Azaltılmasına Yönelik Yazılım Geliştirilmesi. (2019): 1 - 113.
MLA	ÇETİNEL Gökçen,AYGÜN Fuldem Mutlu Meme Manyetik Rezonans Görüntülemede (MRG) Lezyon Tespiti, Yalancı Pozitif Ve Yalancı Negatif Bulguların Azaltılmasına Yönelik Yazılım Geliştirilmesi. , 2019, ss.1 - 113.
AMA	ÇETİNEL G,AYGÜN F Meme Manyetik Rezonans Görüntülemede (MRG) Lezyon Tespiti, Yalancı Pozitif Ve Yalancı Negatif Bulguların Azaltılmasına Yönelik Yazılım Geliştirilmesi. . 2019; 1 - 113.
Vancouver	ÇETİNEL G,AYGÜN F Meme Manyetik Rezonans Görüntülemede (MRG) Lezyon Tespiti, Yalancı Pozitif Ve Yalancı Negatif Bulguların Azaltılmasına Yönelik Yazılım Geliştirilmesi. . 2019; 1 - 113.
IEEE	ÇETİNEL G,AYGÜN F "Meme Manyetik Rezonans Görüntülemede (MRG) Lezyon Tespiti, Yalancı Pozitif Ve Yalancı Negatif Bulguların Azaltılmasına Yönelik Yazılım Geliştirilmesi." , ss.1 - 113, 2019.
ISNAD	ÇETİNEL, Gökçen - AYGÜN, Fuldem Mutlu. "Meme Manyetik Rezonans Görüntülemede (MRG) Lezyon Tespiti, Yalancı Pozitif Ve Yalancı Negatif Bulguların Azaltılmasına Yönelik Yazılım Geliştirilmesi". (2019), 1-113.

APA	ÇETİNEL G, AYGÜN F (2019). Meme Manyetik Rezonans Görüntülemede (MRG) Lezyon Tespiti, Yalancı Pozitif Ve Yalancı Negatif Bulguların Azaltılmasına Yönelik Yazılım Geliştirilmesi. , 1 - 113.
Chicago	ÇETİNEL Gökçen,AYGÜN Fuldem Mutlu Meme Manyetik Rezonans Görüntülemede (MRG) Lezyon Tespiti, Yalancı Pozitif Ve Yalancı Negatif Bulguların Azaltılmasına Yönelik Yazılım Geliştirilmesi. (2019): 1 - 113.
MLA	ÇETİNEL Gökçen,AYGÜN Fuldem Mutlu Meme Manyetik Rezonans Görüntülemede (MRG) Lezyon Tespiti, Yalancı Pozitif Ve Yalancı Negatif Bulguların Azaltılmasına Yönelik Yazılım Geliştirilmesi. , 2019, ss.1 - 113.
AMA	ÇETİNEL G,AYGÜN F Meme Manyetik Rezonans Görüntülemede (MRG) Lezyon Tespiti, Yalancı Pozitif Ve Yalancı Negatif Bulguların Azaltılmasına Yönelik Yazılım Geliştirilmesi. . 2019; 1 - 113.
Vancouver	ÇETİNEL G,AYGÜN F Meme Manyetik Rezonans Görüntülemede (MRG) Lezyon Tespiti, Yalancı Pozitif Ve Yalancı Negatif Bulguların Azaltılmasına Yönelik Yazılım Geliştirilmesi. . 2019; 1 - 113.
IEEE	ÇETİNEL G,AYGÜN F "Meme Manyetik Rezonans Görüntülemede (MRG) Lezyon Tespiti, Yalancı Pozitif Ve Yalancı Negatif Bulguların Azaltılmasına Yönelik Yazılım Geliştirilmesi." , ss.1 - 113, 2019.
ISNAD	ÇETİNEL, Gökçen - AYGÜN, Fuldem Mutlu. "Meme Manyetik Rezonans Görüntülemede (MRG) Lezyon Tespiti, Yalancı Pozitif Ve Yalancı Negatif Bulguların Azaltılmasına Yönelik Yazılım Geliştirilmesi". (2019), 1-113.