ISBI-2018: Diabetic Retinopathy: Segmentation and Grading Challenge Workshop
The challenge was organised in two phases: In the first phase, training data (images+groundtruths) was made available to the participants of the challenge and then top performing teams from the first phase were called for participation in the second phase of an on-site challenge to test their models at ISBI-2018.

It was highly successful event which received 148 submisions from 37 teams in the first phase, out of which 16 teams were shortlisted for participation in the on-site challenge. From the shortlisted teams 13 teams participated in the challenge and top 3 teams per sub-challenge delivered presentation in the on-site challenge. The on-site challenge was held during the challenge workshop at IEEE International Symposium on Biomedical Imaging (ISBI-2018), Omini Shoreham Hotel, Washington (D.C.) on April 4, 2018. The schedule of workshop was as given below:

Time
Title of Presentation/ Activity
Presentation
08:30 AM - 08:35 AM
Welcome Note by Prasanna Porwal
08:35 AM - 08:50 AM
Information and Data Presentation
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Presenter: Prof. Manesh Kokare, Shri Guru Gobind Singhji Institute of Engg. & Tech., Nanded, India
08:50 AM - 09:00 AM
Test Data availablity through Online (Website) and Offline (Pen drive) mode.
09:00 AM - 10:00 AM
On-site Challenge
Subchallenge - 1 Presentations
10:00 AM - 10:10 AM
Lesion Segmentation using Convolutional Neural Network (CNN)
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Presenter: Jaemin Son, VUNO Inc, Seoul, Republic of Korea
10:00 AM - 10:20 AM
Automated Segmentation of Microaneurysms Using Deep Convolutional Neural Network
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Presenter: Jianzong Wang, Ping An Technology (Shenzhen) CO., Ltd, China
10:00 AM - 10:30 AM
Cascaded CNN Based Aprroach For Retinal Lesion Segmentation in Fundus Images
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Presenter: Baocai Yin, iFLYTEK Research, Hefei, China
Announcement of Results for Subchallenege - 2 and 3
10:30 AM - 11:00 AM
 Tea/Coffee Break Time
Subchallenge - 2 Presentations
11:00 AM - 11:10 AM
Automatic Image Grading of Diabetic Retinopathy and Diabetic Macular Edema Using Deep Layer Aggregation
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Presenter: Zhongyu Li, University of North Carolina at Charlotte
11:10 AM - 11:20 AM
Disease Grading Based on Pre-trained Segmentation Networks
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Presenter: Jaemin Son, VUNO Inc, Seoul, Republic of Korea.
11:20 AM - 11:30 AM
Automatic Image Grading for Diabetic Retinopathy and Diabetic Macular Edema
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Presenter: Junyan Wu, Cleerly, US
Subchallenge - 3 Presentations
11:30 AM - 11:40 AM
Precise Fundus Image Analysis Using Deep Learning
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Presenter: Ruoguo Fang, University of Florida, US
11:40 AM - 11:50 AM
Retina Image Segmentation and Grading Based on Mask R-CNN
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Presenter: Xingzheng Lyu, Zhejiang University, China
11:50 AM - 12:00 PM
Fully Convolutional Neural Network for Semantic Segmentation of Anatomical Structure and Pathologies in Colour
Fundus Images Associated With Diabetic Retinopathy
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Presenter: Prof. Debdoot Sheet, Indian Institute of Technology Kharagpur, INDIA
12:00 PM - 12:10 PM
OD and Fovea Detection using Deep Neural Networks
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Presenter: Jaemin Son, VUNO Inc, Seoul, Republic of Korea
12:10 PM - 12:30 PM
 Certificate Distribution, Discussion and Concluding Remarks
 
  Pictorial Glimpses from the Workshop