Eye Disease Net: an algorithmic model for rapid diagnosis of diseases
With the development of science and technology and the improvement of the quality of life, ophthalmic diseases have become one of the major disorders that affect the quality of life of people. In view of this, we propose a new method of ophthalmic disease classification, ED-Net (Eye Disease Classifi...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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PeerJ Inc.
2023-12-01
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Series: | PeerJ Computer Science |
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Online Access: | https://peerj.com/articles/cs-1672.pdf |
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author | Fangyuan Liu Bo Qin Fengqi Jiang |
author_facet | Fangyuan Liu Bo Qin Fengqi Jiang |
author_sort | Fangyuan Liu |
collection | DOAJ |
description | With the development of science and technology and the improvement of the quality of life, ophthalmic diseases have become one of the major disorders that affect the quality of life of people. In view of this, we propose a new method of ophthalmic disease classification, ED-Net (Eye Disease Classification Net), which is composed of the ED_Resnet model and ED_Xception model, and we compare our ED-Net method with classical classification algorithms, transformer algorithm, more advanced image classification algorithms and ophthalmic disease classification algorithms. We propose the ED_Resnet module and ED_Xception module and reconstruct these two modules into a new image classification algorithm ED-Net, and compared them with classical classification algorithms, transformer algorithms, more advanced image classification algorithms and eye disease classification algorithms. |
first_indexed | 2024-03-08T23:30:05Z |
format | Article |
id | doaj.art-b9422cdadb6b4c859e3f929825db5b87 |
institution | Directory Open Access Journal |
issn | 2376-5992 |
language | English |
last_indexed | 2024-03-08T23:30:05Z |
publishDate | 2023-12-01 |
publisher | PeerJ Inc. |
record_format | Article |
series | PeerJ Computer Science |
spelling | doaj.art-b9422cdadb6b4c859e3f929825db5b872023-12-14T15:05:07ZengPeerJ Inc.PeerJ Computer Science2376-59922023-12-019e167210.7717/peerj-cs.1672Eye Disease Net: an algorithmic model for rapid diagnosis of diseasesFangyuan Liu0Bo Qin1Fengqi Jiang2The Second Clinical Medical College, Jinan University, Shenzhen, ChinaThe Second Clinical Medical College, Jinan University, Shenzhen, ChinaThe Second Clinical Medical College, Jinan University, Shenzhen, ChinaWith the development of science and technology and the improvement of the quality of life, ophthalmic diseases have become one of the major disorders that affect the quality of life of people. In view of this, we propose a new method of ophthalmic disease classification, ED-Net (Eye Disease Classification Net), which is composed of the ED_Resnet model and ED_Xception model, and we compare our ED-Net method with classical classification algorithms, transformer algorithm, more advanced image classification algorithms and ophthalmic disease classification algorithms. We propose the ED_Resnet module and ED_Xception module and reconstruct these two modules into a new image classification algorithm ED-Net, and compared them with classical classification algorithms, transformer algorithms, more advanced image classification algorithms and eye disease classification algorithms.https://peerj.com/articles/cs-1672.pdfOphthalmic diseasesTransformer algorithmClassification effectModel structure |
spellingShingle | Fangyuan Liu Bo Qin Fengqi Jiang Eye Disease Net: an algorithmic model for rapid diagnosis of diseases PeerJ Computer Science Ophthalmic diseases Transformer algorithm Classification effect Model structure |
title | Eye Disease Net: an algorithmic model for rapid diagnosis of diseases |
title_full | Eye Disease Net: an algorithmic model for rapid diagnosis of diseases |
title_fullStr | Eye Disease Net: an algorithmic model for rapid diagnosis of diseases |
title_full_unstemmed | Eye Disease Net: an algorithmic model for rapid diagnosis of diseases |
title_short | Eye Disease Net: an algorithmic model for rapid diagnosis of diseases |
title_sort | eye disease net an algorithmic model for rapid diagnosis of diseases |
topic | Ophthalmic diseases Transformer algorithm Classification effect Model structure |
url | https://peerj.com/articles/cs-1672.pdf |
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