A Coarse to Fine Corneal Ulcer Segmentation Approach Using U-net and DexiNed in Chain-Reference-Cited by-同舟云学术

A Coarse to Fine Corneal Ulcer Segmentation Approach Using U-net and DexiNed in Chain

Published:2021 Issue: Volume: Page:13-23
ISSN:0302-9743
Container-title:Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
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Author:

Portela Helano Miguel B. F.^ORCID,de M. S. Veras Rodrigo^ORCID,Vogado Luis Henrique S.^ORCID,Leite Daniel^ORCID,de Sousa Jefferson A.^ORCID,de Paiva Anselmo C.^ORCID,Tavares João Manuel R. S.^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-93420-0_2

Reference15 articles.

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4. Deng, L., Huang, H., Yuan, J., Tang, X.: Automatic segmentation of corneal ulcer area based on ocular staining images. In: Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging, vol. 10578, p. 105781D. International Society for Optics and Photonics (2018). https://doi.org/10.1117/12.2293270

5. Deng, L., Huang, H., Yuan, J., Tang, X.: Superpixel based automatic segmentation of corneal ulcers from ocular staining images. In: 2018 IEEE 23rd International Conference on Digital Signal Processing (DSP), pp. 1–5. IEEE (2018)

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