Simultaneous alignment and surface regression using hybrid 2D–3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse annotations

Author:

Liu HongORCID,Wei DongORCID,Lu DonghuanORCID,Tang Xiaoying,Wang LianshengORCID,Zheng YefengORCID

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference73 articles.

1. Retinal imaging and image analysis;Abràmoff;IEEE Rev. Biomed. Eng.,2010

2. A combined machine-learning and graph-based framework for the segmentation of retinal surfaces in SD-OCT volumes;Antony;Biomed. Opt. Expr.,2013

3. Automated 3-D method for the correction of axial artifacts in spectral-domain optical coherence tomography images;Antony;Biomed. Opt. Expr.,2011

4. Atif, J., Hudelot, C., Fouquier, G., Bloch, I., Angelini, E.D., 2007. From Generic Knowledge to Specific Reasoning for Medical Image Interpretation Using Graph based Representations. In: International Joint Conference on Artificial Intelligence. pp. 224–229.

5. Involuntary eye motion correction in retinal optical coherence tomography: Hardware or software solution?;Baghaie;Med. Image Anal.,2017

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