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Journal of Clinical Pathology and Laboratory Medicine | Volume 3
July 05-06, 2019 | Paris, France
Pathology and Surgical Pathology
2
nd
International Conference on
Retinal image analysis for diabetics and hypertension
Patil Sarika B
and
B P Patil
Sinhgad College of Engineering, India
R
etinopathy is an acute disease to retina of a human.
Retina of a person gets affected due to lifestyle diseases
like diabetics and hypertension known as diabetic and
hypertensive retinopathy respectively. Diabetic retinopathy
is the leading cause of global blindness. The World Health
Organization has launched “Vision 2020”, a global initiative
for the prevention of avoidable visual impairment by the
year 2020. Early detection of features often not directly
discernible by clinical investigation has the potential to
reduce the global burden of diabetes and cardiovascular
disease. Fundus photography has made it possible to
analyse human retina noninvasively. Engineering tools
such as digital image processing combined with advanced
machine learning allow identification and automated
classification of features like optic disk, macula and blood
vessels, lesions and retinal blood vessel changes named
microanurysms, haemorrhages, cotton wool spots, hard
exudates, venous beading in digital images of the retina.
Online databases like DRIVE, HRF, VICAR, Image ret along
with ground truths are made available for researchers to
work on and compare their results with state-of-the-art
methods.
Speaker Biography
Patil Sarika is pursuing PhD in Medical Image Processing under Savitribai
Phule Pune University, Pune. She has completed her master’s in engineering
inJune2008fromSPPU,Pune.She isprofessorofSPPUUniversity,Pune.She
has over 15 publications on her name in various national and international
conferences and journals (SNIP and SJR Index). One paper is published
in Scopus Indexed journal - Journal of Intelligent and Fuzzy Systems, IOS
Press, Netherlands. She has worked on project funded by University of
Pune Rs.2,50,000 in image processing. Implemented and proposed various
algorithms for various feature and lesion detection in retina using image
processing. Till now 11 students have completed their projects at master’s
degree under her guidance.
e:
sbpatil.scoe@sinhgad.edu