Inception V3 Based Approach for the Recognition of Age-related macular degeneration Disease-Reference-Cited by-同舟云学术

Inception V3 Based Approach for the Recognition of Age-related macular degeneration Disease

Published:2023-04-05 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG)
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Author:

Ogundokun Roseline Oluwaseun¹^ORCID,Abdulahi AbdulRahman Tosho²^ORCID,Adenike Ajiboye Raimot³^ORCID,Babatunde Akinbowale Nathaniel⁴,Babatunde Ronke Seyi⁴

Affiliation:

1. Landmark University,Department of Computer Science,Omu Aran,Nigeria

2. Institute of Information and Communication Technology, Kwara State Polytechnic,Department of Computer Science

3. Institute of Applied Sciences, Kwara State Polytechnic,Department of Statistics

4. Kwara State University,Department of Computer Science,Malete,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10124379/10124380/10124539.pdf?arnumber=10124539

Reference55 articles.

1. Functional Candidate Genes in Age-Related Macular Degeneration: Significant Association withVEGF,VLDLR, andLRP6

2. Mechanisms of Age-Related Macular Degeneration

3. The Dry Form of Age-Related Macular Degeneration (AMD): The Current Concepts of Pathogenesis and Prospects for Treatment

4. Nanotherapies for the Treatment of Age-Related Macular Degeneration (AMD) Disease: Recent Advancements and Challenges

5. Clinical Classification of Age-related Macular Degeneration

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1. AI-based methods for detecting and classifying age-related macular degeneration: a comprehensive review;Artificial Intelligence Review;2024-08-07

2. Effectiveness of Using Fundus Image Data Containing Other Retinal Diseases in Identifying Age-Related Macular Degeneration using Image Classification;2023 13th International Conference on Software Technology and Engineering (ICSTE);2023-10-27