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Page 45
Biochemistry & Molecular Biology Journal
ISSN: 2471-8084
Internat i ona l Conference on
Biotechnology, Biomarkers
& Systems Biology
M a r c h 0 4 - 0 5 , 2 0 1 9
Am s t e r d a m , N e t h e r l a n d s
Biotechnology, Biomarkers & Systems Biology 2019
Hussam N. Fakhouri et al., Biochem Mol biol J 2019, Volume:5
DOI: 10.21767/2471-8084-C1-024
C
onsiderable researches has been devoted to study tumor biomarkers
digital images. Information gathered from studying these images are good
source for automating clinical diagnosis of tumors. This research investigate
the techniques used for analyzing Microscopic images that contain tumor
biomarkers in term of diagnosis and also presents an automated method
for analyzing epithelial dysplasia microscopic biomarker digital images to
provide a clinical diagnosis epithelial dysplasia tumor biomarkers based on
both applying the adaptive threshold and the mathematical calculations of
processing the tumor biomarkers images. 100 tumor marker digital images
for both normal and epithelial dysplasia cases have been experimented.
we preprocess the digital images to enhance them, after that we apply the
adaptive threshold. We achieved a novel finding for determining the value of the
window size for epithelial dysplasia images. We also propose a mathematical
method that can be used for processing of epithelial dysplasia images for the
clinical diagnosis of these
خهال
markers to determine if it is normal or contain
epithelial dysplasia. The results showed that 94% of epithelial dysplasia tumor
biomarkers were correctly diagnosed.
Biography
Hussam N. Fakhouri is a Instructor at the University of Jordan,
Amman Jordan he also responsible for the quality assurance in
the Facluty. His first published research was in year 2006 about
Genome image processing after that he published more than
30 researches in different fields. He studied a PhD in artificial
intelligence. He also was an Erasmus scholar to attend many
research courses in Denmark, Germany and Russia.
h.fakhouri@ju.edu.joClinical Diagnosis Based on Tumor Biomarkers Analysis using
Digital Image Processing and Digital biomarkers Detectors
Case study: Epithelial Dysplasia Cancer
Hussam N. Fakhouri, Faten Hamad and Amal Akour
The University of Jordan, Amman, Jordan