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Page 28
allied
academies
Microbiology: Current Research
Volume 2
International Conference on
Emerging Diseases, Outbreaks & Case Studies
&
16
th
Annual Meeting on
March 28-29, 2018 | Orlando, USA
Influenza
I
n automated chest X-ray screening (to detect pulmonary
abnormality: Tuberculosis (TB), for instance), the presence
of foreign element such as buttons and medical devices
hinders its performance. In this paper, using digital chest
radiographs, the authors present a new technique to detect
circular foreign element, within the lung regions. They first
compute edge map by using several different edge detection
algorithms, which is followed by morphological operations
for potential candidate selection. These candidates are then
confirmed by using circular Hough transform (CHT). In their
test, the authors have achieved precision, recall, and F1 score
of 96%, 90%, and 92%, respectively with lung segmentation.
Compared to state-of-the-art work, their technique excels
performance in terms of both detection accuracy and
computational time.
e:
santosh.kc@usd.eduForeign circular element detection in chest X-rays for effective automated pulmonary abnormality
screening
K C Santosh
University of South Dakota, USA