Vessel Segmentation Approach with Deep Neural Network Model for Detection of Diabetic Retinopathy-Reference-Cited by-同舟云学术

Vessel Segmentation Approach with Deep Neural Network Model for Detection of Diabetic Retinopathy

Published:2022-02-11 Issue: Volume: Page:
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Container-title:2021 4th International Conference on Recent Trends in Computer Science and Technology (ICRTCST)
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Author:

Pahadiya Prasham¹,Tiwari Prakhar²,Singh Prashant²,Gupta Surendra³

Affiliation:

1. Shri G. S. Institute of Technology and Science,Electronics and Telecommunications Engineering,Indore,India

2. Acropolis Institute of Technology and Research,Computer Science and Engineering,Indore,India

3. Shri G. S. Institute of Technology and Science,Computer Science and Engineering,Indore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9781837/9781820/09781988.pdf?arnumber=9781988

Reference18 articles.

1. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,2015

2. Blood vessel segmentation of fundus images by major vessel extraction and subimage classification;roychowdhury;IEEE Journal of Biomedical and Health Informatics,2014

3. FOOD-IMAGE CLASSIFICATION USING NEURAL NETWORK MODEL

4. Modified Alexnet architecture for classification of diabetic retinopathy images

5. POWER GRID FAULT PREDICTION METHOD BASED ON FEATURE SELECTION AND CLASSIFICATION ALGORITHM

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1. Machine learning & deep learning algorithm reviews for diabetic retinopathy detection;2022 5th International Conference on Advances in Science and Technology (ICAST);2022-12-02