Automatic Segmentation of Macular Holes in Optical Coherence Tomography Images: A review

Auzuir R. de Alexandria

1. Instituto Federal do Ceará - IFCE, Campus Fortaleza, Av. Treze de Maio, 2081, Benfica, 60040-215 Fortaleza, Ceará, Brazil
Email: [email protected]; [email protected]; [email protected]
2. Escola Cearense de Oftalmologia, Avenida Oliveira Paiva, 1599, Cidade dos Funcionários, Fortaleza, Ceará, Brazil
Email: [email protected]; [email protected]
*Corresponding Author: Auzuir R. de Alexandria, Email: [email protected]

Macular holes are a blinding condition that occur due to overuse of the fovea, in which a hole alters the natural retinal structure. Optical Coherence Tomography (OCT) is a way of mapping and shaping retinal sections without physical contact and has become a powerful tool for diagnosing pathologies. This paper deals with a review of automated segmentation of macular holes in OCT images, detailing its varied possibilities. It may be considered something new, no reviews were made about the topic. The purpose of this review is to show the latest trends, through the approaches in preprocessing and segmentation. Recent studies were used to validate the research, 2011 onwards, from the Science Direct, IEEE, PubMed and Google scholar bases. The objectives, methodology, tools, database, advantages, disadvantages, validation metrics and results of the selected material are analyzed and mentioned. Based on this, techniques and their results are compared. From this, future outlook scenarios of automated segmentation of macular holes in OCT images are mentioned.

Macular holes, Optical Coherence Tomography (OCT), Segmentation, Preprocessing, Pathology

Mendes, O. L. C., Lucena, A. R., Lucena, D. R., Cavalcante, T. S. and Alexandria, A. R. (2019). Automatic Segmentation of Macular Holes in Optical Coherence Tomography Images: A review. Journal of Artificial Intelligence and Systems, 1, 163–185. https://doi.org/10.33969/AIS.2019.11010.

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