Detection and Classification of Retinal Red Lesions via Regional Spatial Transformations and Neural Network-Reference-Cited by-同舟云学术

Detection and Classification of Retinal Red Lesions via Regional Spatial Transformations and Neural Network

Published:2019 Issue: Volume: Page:
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Container-title:Proceedings of the 2019 5th International Conference on Computing and Artificial Intelligence - ICCAI '19
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Author:

Hussain Muhammad Altaf¹,Rehman Ubaid ur¹,Islam Syed Osama Bin¹,Sheikh Muhammad Fahad²,Javaid Amber³

Affiliation:

1. National University of Sciences & Technology (NUST), Pakistan

2. University of Management & Technology (UMT), Pakistan

3. University of Health Sciences (UHS), Pakistan

Publisher

ACM Press

Reference34 articles.

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5. S. Pradhan, S. Balasubramanian and V. Chandrasekaran. 2008. An Integrated Approach using Automatic Seed Generation and Hybrid Classification for the Detection of Red Lesions in Digital Fundus Images. In Proceedings pf the IEEE 8th International Conference on Computer Information Technology Workshops (Sydney, QLD, Australia, July 8-11, 2008) IEEE. CIT, 08, 462--467. DOI= 10.1109/CIT.2008.Workshops.35.