Retinal vessel segmentation for
diabetic retinopathy screening test
irene.fidone@mail.polimi.it, lara.cavinato@mail.polimi.it, marco.bacis@mail.polimi.it
Irene Fidone, Lara Cavinato, Marco Bacis
Da Vinci Conference Room @Stanford OTL

May 29th, 2018
2Joanne’s Story
2
1
https://www.mirror.co.uk/news/real-life-stories/didnt-care-effects-diabetes-until-7655894
3
3
https://www.mirror.co.uk/news/real-life-stories/didnt-care-effects-diabetes-until-7655894
Joanne’s Story 1
4
4
https://www.mirror.co.uk/news/real-life-stories/didnt-care-effects-diabetes-until-7655894
Joanne’s Story 2
5
[1] https://nei.nih.gov/health/diabetic/retinopathy
Diabetes and Diabetic Retinopathy
[1]
Approximately 1 in 3 people living with diabetes have some degree of
diabetic retinopathy and 1 in 10 will develop a vision impairment
form of the disease [2]
[2] Yau, Joanne WY, et al. "Global prevalence and major risk factors of diabetic retinopathy." Diabetes care (2012): DC_111909.
53
Type One Diabetes Type Two Diabetes
Diabetic Retinopathy
90%
Diabetic Retinopathy
60%
6
6
Manual segmentationSpecific equipment Qualified staff
Screening Test 4
7
7Screening Test
But sometimes waiting list are too long, and it is possible to
wait from 4 months up to more than a year[3]
[3] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3553639/pdf/bjgp63-e134.pdf
12-24 months

For diabetic patients
6-12 months

For diabetic retinopathy patients
3-6 months

For diabetic retinopathy patients
in the proliferative stage
Frequency
[months]
Guidelines for diabetic retinopathy screening
5
8Our Proposal 8
Automated the retinal vessel segmentation
for diabetic retinopathy screening
Segmentation Algorithm
6
99
Software Implementation Hardware acceleration
Beye Implementation
Segmentation Algorithm
7
10Results 108
[4] https://www.isi.uu.nl/Research/Databases/DRIVE/
Accuracy
Pixel comparison between manual
segmentation and Beye
= 92.93% [4]
TP + TN

Tot
Accuracy =
11Results 11
[4] https://www.isi.uu.nl/Research/Databases/DRIVE/
Accuracy
Execution Time
At the same time, our implementation performs 172 times faster
respect the state of the art (0.068 s)
Pixel comparison between manual
segmentation and Beye
= 92.93% [4]
TP + TN

Tot
Accuracy =
8
12Results 12
[4] https://www.isi.uu.nl/Research/Databases/DRIVE/
Accuracy
Execution Time
At the same time, our implementation performs 172 times faster
respect the state of the art (0.068 s)
Pixel comparison between manual
segmentation and Beye
= 92.93% [4]
TP + TN

Tot
Accuracy =
VS.
Intel Core i7-6700 CPU Xilinx Zynq-7000
At the same time, our hardware implementation performs
6 times faster respect our software implementation
8
10Future Works 129
10Future Works
1- Convolutional Neural Network for the micro aneurism detection

(Non proliferative Phase)
2- Comparison between the segmentation for the proliferation study

(Proliferative Phase)
129
11
[12] Resnikoff S, Pascolini D, Etya’ale D, et al. Global data on visual impairment in the year 2002. Bulletin of the World Health Organization 2004; 82: 844–51.
[13] The Global Economic Cost of Visual Impairment: Summary Report April 2010
It is estimated that Diabetic Retinopathy accounts for 4.8% of the number of cases of
blindness worldwide [12]

The financial cost of visual impairment worldwide was US$2,954 billion in 2010 [13]
Conclusion 1310
10Conclusion
Thank you for your attention
https://www.facebook.com/beye.project/
https://www.slideshare.net/BEye_project
https://twitter.com/BEye_NECSTLab
irene.fidone@mail.polimi.it
It is estimated that Diabetic Retinopathy accounts for 4.8% of the number of cases of
blindness worldwide.[12]

The financial cost of visual impairment worldwide was US$2,954 billion in 2010[13]
13
May 29th, 2018 

Da Vinci Conference Room @Stanford OTL

10

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BEye: Software Implementation and Hardware Acceleration of Retinal Vessel Segmentation for Diabetic Retinopathy Screening Tests