DUNet: A deformable network for retinal vessel segmentation

Author:

Jin Qiangguo,Meng Zhaopeng,Pham Tuan D.,Chen Qi,Wei Leyi,Su Ran

Funder

National Natural Science Foundation of China

Science and Technology Program of Tianjin, China

National Key Technology R&D Program of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference68 articles.

1. A study of red blood cell deformability in diabetic retinopathy using optical tweezers;Smart,2015

2. T. Laibacher, T. Weyde, S. Jalali, M2U-Net: Effective and efficient retinal vessel segmentation for resource-constrained environments, 2018, arXiv preprint arXiv:1811.07738.

3. Classification of retinal vessels into arteries and veins for detection of hypertensive retinopathy;Irshad,2014

4. Retinal vascular tortuosity, blood pressure, and cardiovascular risk factors;Cheung;Ophthalmology,2011

5. Trainable COSFIRE filters for vessel delineation with application to retinal images;Azzopardi;Med. Image Anal.,2015

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