SCRD-Net: A Deep Convolutional Neural Network Model for Glaucoma Detection in Retina Tomography
Early and accurate diagnosis of glaucoma is critical for avoiding human vision deterioration and preventing blindness. A deep-neural-network model has been developed for the diagnosis of glaucoma based on Heidelberg retina tomography (HRT), called “Seeking Common Features and Reserving Differences N...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/9858343 |
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| author | Hua Wang Jingfei Hu Jicong Zhang |
| author_facet | Hua Wang Jingfei Hu Jicong Zhang |
| author_sort | Hua Wang |
| collection | DOAJ |
| description | Early and accurate diagnosis of glaucoma is critical for avoiding human vision deterioration and preventing blindness. A deep-neural-network model has been developed for the diagnosis of glaucoma based on Heidelberg retina tomography (HRT), called “Seeking Common Features and Reserving Differences Net” (SCRD-Net) to make full use of the HRT data. In this work, the proposed SCRD-Net model achieved an area under the curve (AUC) of 94.0%. For the two HRT image modalities, the model sensitivities were 91.2% and 78.3% at specificities of 0.85 and 0.95, respectively. These results demonstrate a significant improvement over earlier results. In addition, we visualized the network outputs to develop an interpretation of the learned mechanism for discriminating glaucoma and normal images. Thus, the SCRD-Net can be an effective diagnostic indicator of glaucoma during clinical screening. To facilitate SCRD-Net utilization by the scientific community, the code implementation will be made publicly available. |
| format | Article |
| id | doaj-art-fe8cd73d353e4a079478bd5d988c7000 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-fe8cd73d353e4a079478bd5d988c70002025-02-03T06:43:55ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/98583439858343SCRD-Net: A Deep Convolutional Neural Network Model for Glaucoma Detection in Retina TomographyHua Wang0Jingfei Hu1Jicong Zhang2School of Biological Science and Medical Engineering, Beihang University, Beijing, ChinaSchool of Biological Science and Medical Engineering, Beihang University, Beijing, ChinaSchool of Biological Science and Medical Engineering, Beihang University, Beijing, ChinaEarly and accurate diagnosis of glaucoma is critical for avoiding human vision deterioration and preventing blindness. A deep-neural-network model has been developed for the diagnosis of glaucoma based on Heidelberg retina tomography (HRT), called “Seeking Common Features and Reserving Differences Net” (SCRD-Net) to make full use of the HRT data. In this work, the proposed SCRD-Net model achieved an area under the curve (AUC) of 94.0%. For the two HRT image modalities, the model sensitivities were 91.2% and 78.3% at specificities of 0.85 and 0.95, respectively. These results demonstrate a significant improvement over earlier results. In addition, we visualized the network outputs to develop an interpretation of the learned mechanism for discriminating glaucoma and normal images. Thus, the SCRD-Net can be an effective diagnostic indicator of glaucoma during clinical screening. To facilitate SCRD-Net utilization by the scientific community, the code implementation will be made publicly available.http://dx.doi.org/10.1155/2021/9858343 |
| spellingShingle | Hua Wang Jingfei Hu Jicong Zhang SCRD-Net: A Deep Convolutional Neural Network Model for Glaucoma Detection in Retina Tomography Complexity |
| title | SCRD-Net: A Deep Convolutional Neural Network Model for Glaucoma Detection in Retina Tomography |
| title_full | SCRD-Net: A Deep Convolutional Neural Network Model for Glaucoma Detection in Retina Tomography |
| title_fullStr | SCRD-Net: A Deep Convolutional Neural Network Model for Glaucoma Detection in Retina Tomography |
| title_full_unstemmed | SCRD-Net: A Deep Convolutional Neural Network Model for Glaucoma Detection in Retina Tomography |
| title_short | SCRD-Net: A Deep Convolutional Neural Network Model for Glaucoma Detection in Retina Tomography |
| title_sort | scrd net a deep convolutional neural network model for glaucoma detection in retina tomography |
| url | http://dx.doi.org/10.1155/2021/9858343 |
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