Lung segmentation in chest radiographs using fully convolutional networks

SOFAT, Sanjeev; HOODA, Rahul; MITTAL, Ajay

doi:10.3906/elk-1710-157

Lung segmentation in chest radiographs using fully convolutional networks

Rahul HOODA, (Punjab Engineering College)

Ajay MITTAL, (Diğer)

Sanjeev SOFAT (Punjab Engineering College)

Turkish Journal of Electrical Engineering and Computer Sciences

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Yıl: 2019 Cilt: 27 Sayı: 2 Sayfa Aralığı: 710 - 722 Metin Dili: İngilizce DOI: 10.3906/elk-1710-157 İndeks Tarihi: 13-05-2020

Lung segmentation in chest radiographs using fully convolutional networks

Öz:

Automated segmentation of medical images that aims at extracting anatomical boundaries is a fundamentalstep in any computer-aided diagnosis (CAD) system. Chest radiographic CAD systems, which are used to detectpulmonary diseases, first segment the lung field to precisely define the region-of-interest from which radiographic patternsare sought. In this paper, a deep learning-based method for segmenting lung fields from chest radiographs has beenproposed. Several modifications in the fully convolutional network, which is used for segmenting natural images to date,have been attempted and evaluated to finally evolve a network fine-tuned for segmenting lung fields. The testing accuracyand overlap of the evolved network are 98.75% and 96.10%, respectively, which exceeds the state-of-the-art results.

Anahtar Kelime:

Konular: Mühendislik, Elektrik ve Elektronik Bilgisayar Bilimleri, Yazılım Mühendisliği Bilgisayar Bilimleri, Sibernitik Bilgisayar Bilimleri, Bilgi Sistemleri Bilgisayar Bilimleri, Donanım ve Mimari Bilgisayar Bilimleri, Teori ve Metotlar Bilgisayar Bilimleri, Yapay Zeka

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	HOODA R, MITTAL A, SOFAT S (2019). Lung segmentation in chest radiographs using fully convolutional networks. , 710 - 722. 10.3906/elk-1710-157
Chicago	HOODA Rahul,MITTAL Ajay,SOFAT Sanjeev Lung segmentation in chest radiographs using fully convolutional networks. (2019): 710 - 722. 10.3906/elk-1710-157
MLA	HOODA Rahul,MITTAL Ajay,SOFAT Sanjeev Lung segmentation in chest radiographs using fully convolutional networks. , 2019, ss.710 - 722. 10.3906/elk-1710-157
AMA	HOODA R,MITTAL A,SOFAT S Lung segmentation in chest radiographs using fully convolutional networks. . 2019; 710 - 722. 10.3906/elk-1710-157
Vancouver	HOODA R,MITTAL A,SOFAT S Lung segmentation in chest radiographs using fully convolutional networks. . 2019; 710 - 722. 10.3906/elk-1710-157
IEEE	HOODA R,MITTAL A,SOFAT S "Lung segmentation in chest radiographs using fully convolutional networks." , ss.710 - 722, 2019. 10.3906/elk-1710-157
ISNAD	HOODA, Rahul vd. "Lung segmentation in chest radiographs using fully convolutional networks". (2019), 710-722. https://doi.org/10.3906/elk-1710-157

APA	HOODA R, MITTAL A, SOFAT S (2019). Lung segmentation in chest radiographs using fully convolutional networks. Turkish Journal of Electrical Engineering and Computer Sciences, 27(2), 710 - 722. 10.3906/elk-1710-157
Chicago	HOODA Rahul,MITTAL Ajay,SOFAT Sanjeev Lung segmentation in chest radiographs using fully convolutional networks. Turkish Journal of Electrical Engineering and Computer Sciences 27, no.2 (2019): 710 - 722. 10.3906/elk-1710-157
MLA	HOODA Rahul,MITTAL Ajay,SOFAT Sanjeev Lung segmentation in chest radiographs using fully convolutional networks. Turkish Journal of Electrical Engineering and Computer Sciences, vol.27, no.2, 2019, ss.710 - 722. 10.3906/elk-1710-157
AMA	HOODA R,MITTAL A,SOFAT S Lung segmentation in chest radiographs using fully convolutional networks. Turkish Journal of Electrical Engineering and Computer Sciences. 2019; 27(2): 710 - 722. 10.3906/elk-1710-157
Vancouver	HOODA R,MITTAL A,SOFAT S Lung segmentation in chest radiographs using fully convolutional networks. Turkish Journal of Electrical Engineering and Computer Sciences. 2019; 27(2): 710 - 722. 10.3906/elk-1710-157
IEEE	HOODA R,MITTAL A,SOFAT S "Lung segmentation in chest radiographs using fully convolutional networks." Turkish Journal of Electrical Engineering and Computer Sciences, 27, ss.710 - 722, 2019. 10.3906/elk-1710-157
ISNAD	HOODA, Rahul vd. "Lung segmentation in chest radiographs using fully convolutional networks". Turkish Journal of Electrical Engineering and Computer Sciences 27/2 (2019), 710-722. https://doi.org/10.3906/elk-1710-157