The application of deep learning framework in quantifying retinal structures on ophthalmic image in research eye-PACS-Reference-Cited by-同舟云学术

The application of deep learning framework in quantifying retinal structures on ophthalmic image in research eye-PACS

Published:2019-03-15 Issue: Volume: Page:
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Container-title:Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications
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Author:

Yu Moye,Wu Huiqun,Zhao Shenghui,Sang Aimin,Dong Jiancheng,Zhang Siliang,Liu Brent J.

Publisher

SPIE

Reference20 articles.

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2. The development of an ophthalmologic imaging CADe structured report for retinal image radiomics research[C]. Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications;Wu;International Society for Optics and Photonics,2018

3. The application of deep learning for diabetic retinopathy prescreening in research eye-PACS[C]. Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications;Zhang;International Society for Optics and Photonics,2018

4. Retinal vessel extraction by matched filter with first-order derivative of Gaussian

5. Adaptive local thresholding by verification-based multithreshold probing with application to vessel detection in retinal images

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