BT Görüntülerden Akciğerin Tespiti için Süper Piksel ve Yapay Sinir Ağı Tabanlı Bir Yöntem

Tıbbi görüntülerden doku veya organların otomatik olarak tespit edilmesi bilgisayarlı görü alanının önemli çalışma konularından birisidir. Bu çalışmada bilgisayarlı tomografi (BT) görüntülerinden akciğerin otomatik olarak tespiti için bir yöntem önerilmiştir. Önerilen yöntem süper pikselleri kullanan yapay sinir ağları (YSA) üzerinde temellendirilmiştir ve klinik karar destek sistemleri için ilk aşama olarak kullanılması hedeflenmektedir. Yöntemin başarım incelemesi National Lung Screening Trial (NLST) veri tabanındaki BT görüntüleri üzerinde gerçekleştirilmiştir.

Anahtar Kelimeler:

YSA, Süper Piksel, Bölütleme, Tıbbi görüntü, YSA

A Method based on Super Pixel and Artificial Neural Network for Lung Detection from CT images

Detecting tissues and organs from medical images is an important topic in computer vision. In this work a method is proposed for automatic lung detection from computer tomography (CT) images. The proposed method is based on artificial neural networks (ANN) using super pixels and it is aimed to use as the first stage of a clinical decision support system. The performance of the method is examined on the CT images from the National Lung Screening Trial (NLST) database.

Keywords:

ANN, Medical Image, Super Pixel, Segmentation,

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