Automated detection of profile axis angle of human finger for quantitative digital clubbing diagnosis
作者： Kaustav Sen , Deeparati Basu , Arnesh Sen , Syed Minhaz Hossain , Jayoti Das
DOI: 10.1109/ICCCNT45670.2019.8944519
关键词: Finger clubbing 、 Idiopathic pulmonary fibrosis 、 Lung cancer 、 Endothelial Growth Factors 、 Radiology 、 Cyanotic congenital heart disease 、 Digital Clubbing 、 Early detection 、 Computer science
摘要: Digital clubbing is an important clinical symptom. Characterized by the bulbous appearance of finger tips, digital often associated to a number cardio-pulmonary disorders namely lung cancer, chronic obstructive pulmonary disorder, cyanotic congenital heart disease, idiopathic fibrosis and numerous other medical conditions. Caused due platelet derived growth factors vascular endothelial factors, diagnosis plays predominant role in early detection many Qualitative tests provides insufficiently for conclusive clubbing. Profile axis angle determination human can be treated as effective indicator quantitative measurement This work proposes development automated instrument; designer precise profile fingers cost
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