Ocular Disease Detection with Deep Learning (Fine-Grained Image Categorization) Applied to Ocular B-Scan Ultrasound Images
The proposed DPLA-Net showed high accuracy for screening and classifying multiple ophthalmic diseases using B-scan ultrasound images across mutiple centers. Moreover, the system can promote the efficiency of classification by ophthalmologists.
Authors
- Shangchao Yang
- Shucheng He (ORCID: https://orcid.org/0000-0002-0824-2747)
- Ruilong Dan (ORCID: https://orcid.org/0000-0002-7800-9297)
- Congying Zhou
- Lijun Shen (ORCID: https://orcid.org/0000-0002-7518-2932)
- Jiafeng Yu
- Xin Ye (ORCID: https://orcid.org/0000-0002-0563-0015)
- Yaqi Wang (ORCID: https://orcid.org/0000-0002-4627-3392)
- Bole Wu
- Xu Han (ORCID: https://orcid.org/0000-0002-8967-4372)
- Yang Lu
- Jiangtao Xv
- Wenbin Xie
Institutions
- Wenzhou Medical University (CN)
- Affiliated Eye Hospital of Wenzhou Medical College (CN)
- Lishui City People's Hospital (CN)
- Zhejiang Provincial People's Hospital (CN)
- Communication University of Zhejiang (CN)
- Shaoxing People's Hospital (CN)
- Hangzhou Medical College (CN)
- Hangzhou Dianzi University (CN)
Publication Details
- Journal
- Ophthalmology and Therapy
- Published
- 2024-08-11
- DOI
- https://doi.org/10.1007/s40123-024-01009-7
- Citations
- 7
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.83
Funders
- Medical Science and Technology Project of Zhejiang Province