Weakly supervised lesion localization for age-related macular degeneration detection using optical coherence tomography images

Author:

Yang Hyun-LimORCID,Kim Jong Jin,Kim Jong Ho,Kang Yong KooORCID,Park Dong Ho,Park Han Sang,Kim Hong Kyun,Kim Min-Soo

Funder

Samsung Research Funding Center of Samsung Electronics

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference22 articles.

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2. Rathke F, Desana M, Schnörr C. Locally Adaptive Probabilistic Models for Global Segmentation of Pathological OCT Scans. In: Medical Image Computing and Computer Assisted Intervention—MICCAI 2017—20th International Conference. vol. 10433 of Lecture Notes in Computer Science. Springer; 2017. p. 177–184. Available from: https://doi.org/10.1007/978-3-319-66182-7_21.

3. Yang D, Xiong T, Xu D, Zhou SK, Xu Z, Chen M, et al. Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes. In: Medical Image Computing and Computer Assisted Intervention—MICCAI 2017—20th International Conference. vol. 10435 of Lecture Notes in Computer Science. Springer; 2017. p. 498–506. Available from: https://doi.org/10.1007/978-3-319-66179-7_57.

4. Age-related macular degeneration;RJ Herm;The New England journal of medicine,2008

5. Evaluation of age-related macular degeneration with optical coherence tomography;PA Keane;Survey of ophthalmology,2012

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