Multi-view-based automatic method for multiple diseases screening in retinal OCT images

Ting Wang; Weifang Zhu; Meng Wang; Lianyu Wang; Zhongyue Chen; Tian Lin; Haoyu Chen; Xinjian Chen

doi:10.1117/12.2611478

4 April 2022 Multi-view-based automatic method for multiple diseases screening in retinal OCT images

Ting Wang, Weifang Zhu, Meng Wang, Lianyu Wang, Zhongyue Chen, Tian Lin, Haoyu Chen, Xinjian Chen

Proceedings Volume 12032, Medical Imaging 2022: Image Processing; 120322A (2022) https://doi.org/10.1117/12.2611478
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Conference Poster

Abstract

Optical coherence tomography (OCT), a non-invasive high-resolution imaging technology of retinal tissues, has been widely used in the diagnosis of retinal diseases. However, the shortage of ophthalmologists and the overloaded work have caused great difficulties in screening for retinal diseases. Therefore, developing an accurate automatic diagnosis system for screening retinal diseases in OCT images is essential for the prevention and treatment of retinal diseases. To this end, we propose a novel multi-view-based automatic aided diagnosis method for simultaneously screening multiple diseases in retinal OCT images. First, we collected 11,211 cases of 11 common retinal diseases from the ophthalmology clinic, and each case included two OCTs acquired from different views. Then, to automatically and accurately screen diseases in retinal OCT images, a novel multi-view attention network is proposed for screening retinal diseases based on the collected data. Finally, we conduct experiments based on the collected clinical data to evaluate the performance of the proposed method. The AUC of the proposed method achieves 0.9023, which indicates the effectiveness of the proposed method.

Conference Presentation

Citation Download Citation

Ting Wang, Weifang Zhu, Meng Wang, Lianyu Wang, Zhongyue Chen, Tian Lin, Haoyu Chen, and Xinjian Chen "Multi-view-based automatic method for multiple diseases screening in retinal OCT images", Proc. SPIE 12032, Medical Imaging 2022: Image Processing, 120322A (4 April 2022); https://doi.org/10.1117/12.2611478

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