The study presents automatic identification of lungs area and rib borders detection in digital chest radiograph. There are used several segmentation methods, region labeling and region convex hull construction algorithm in lungs identification. Their final shape is derived from lungs identification algorithm, which uses machine learning. Ribs' borders detection is based on Canny's edge detection algorithm. Image of chest radiograph processed by Canny's algorithm is used as entry point to the ribs' border detection. Then, there are presented successive stages of borders detection for a sample rib. There is also described a method of gathering new patterns of ribs' borders.
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Hong Kong Childrens Hosp, Dept Paediat & Adolescent Med, Hong Kong, Peoples R ChinaHong Kong Childrens Hosp, Dept Paediat & Adolescent Med, Hong Kong, Peoples R China
Hon, Kam Lun
Leung, Karen Ka Yan
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Hong Kong Childrens Hosp, Dept Paediat & Adolescent Med, Hong Kong, Peoples R ChinaHong Kong Childrens Hosp, Dept Paediat & Adolescent Med, Hong Kong, Peoples R China
Leung, Karen Ka Yan
Hui, Wun Fung
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Hong Kong Childrens Hosp, Dept Paediat & Adolescent Med, Hong Kong, Peoples R ChinaHong Kong Childrens Hosp, Dept Paediat & Adolescent Med, Hong Kong, Peoples R China
Hui, Wun Fung
Cheung, Wing Lum
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Hong Kong Childrens Hosp, Dept Paediat & Adolescent Med, Hong Kong, Peoples R ChinaHong Kong Childrens Hosp, Dept Paediat & Adolescent Med, Hong Kong, Peoples R China
Cheung, Wing Lum
Hui, Peter
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Hong Kong Childrens Hosp, Dept Paediat & Adolescent Med, Hong Kong, Peoples R ChinaHong Kong Childrens Hosp, Dept Paediat & Adolescent Med, Hong Kong, Peoples R China