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

Çağlar Kılıkçıer; Ersen Yılmaz

doi:10.18185/erzifbed.384268

Research Article

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

Year 2018, Volume: 11 Issue: 2, 223 - 230, 31.08.2018

Çağlar Kılıkçıer , Ersen Yılmaz

https://doi.org/10.18185/erzifbed.384268

Abstract

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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