A deep learning based dual encoder–decoder framework for anatomical structure segmentation in chest X-ray images

Automated multi-organ segmentation plays an essential part in the computer-aided diagnostic (CAD) of chest X-ray fluoroscopy. However, developing a CAD system for the anatomical structure segmentation remains challenging due to several indistinct structures, variations in the anatomical structure sh...

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Veröffentlicht in:	Scientific reports Jg. 13; H. 1; S. 791 - 14
Hauptverfasser:	Ullah, Ihsan, Ali, Farman, Shah, Babar, El-Sappagh, Shaker, Abuhmed, Tamer, Park, Sang Hyun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 16.01.2023 Nature Publishing Group Nature Portfolio
Schlagworte:	631/114/1305 631/114/1564 Chest Deep Learning Fluoroscopy Humanities and Social Sciences Humans Image processing Image Processing, Computer-Assisted - methods multidisciplinary Neural networks Neural Networks, Computer Pacemakers Science Science (multidisciplinary) Segmentation Thorax - diagnostic imaging X-Rays
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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