1 Ocak 2018 Dergi makalesi Açık Erişim

Doganay, Emine; Kara, Sada; Ozcelik, Hatice Kutbay; Kart, Levent

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{
  "@context": "https://schema.org/", 
  "@id": 33693, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "Fatih Univ, Biomed Inst Engn, Buyukcekmece Campuss, Istanbul, Turkey", 
      "name": "Doganay, Emine"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Fatih Univ, Biomed Inst Engn, Buyukcekmece Campuss, Istanbul, Turkey", 
      "name": "Kara, Sada"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Yedikule Pulmonol & Thorac Surg Hosp, Pulmonol Dept, Istanbul, Turkey", 
      "name": "Ozcelik, Hatice Kutbay"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Fatih Univ, Med Fac, Pulm Dept, Buyukcekmece Campuss, Istanbul, Turkey", 
      "name": "Kart, Levent"
    }
  ], 
  "datePublished": "2018-01-01", 
  "description": "The lung is an essential organ and is dark in Computed Tomography (CT) images because of air. Lung segmentation and correct lung region separation is a prerequisite for the development of computer-aided diagnostic algorithms and disease treatment planning. However, this remains a nontrivial problem because of lung anatomical structures. Here, we addressed this problem and proposed a reliable and robust solution that is based on a histogram-based fuzzy C-means (FCM) algorithm and morphological mathematical algorithms. There were 1632 high resolution CT slices with 1 mm thickness used from asthma patients with low dose; right and left lungs were classified using the proposed algorithm. We extracted right lung regions with 96.05% accuracy and left lung regions at 96.32%. The computation time is 1.3 s per slice.", 
  "headline": "A hybrid lung segmentation algorithm based on histogram-based fuzzy C-means clustering", 
  "identifier": 33693, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "A hybrid lung segmentation algorithm based on histogram-based fuzzy C-means clustering", 
  "url": "https://aperta.ulakbim.gov.tr/record/33693"
}