Intuitive and Coherent Intraretinal Cystoid Map Representation in Optical Coherence Tomography Images
![Thumbnail](/dspace/bitstream/handle/2183/36986/Vidal_Placido_2020_Intuitive_and_Coherent_Intraretinal_Cystoid_Map_Representation_in_OCT_Images.pdf.jpg?sequence=5&isAllowed=y)
Ver/ abrir
Use este enlace para citar
http://hdl.handle.net/2183/36986Coleccións
Metadatos
Mostrar o rexistro completo do ítemTítulo
Intuitive and Coherent Intraretinal Cystoid Map Representation in Optical Coherence Tomography ImagesData
2020Cita bibliográfica
Vidal, P., de Moura, J., Novo, J., Penedo, M.G., Ortega, M. (2020). Intuitive and Coherent Intraretinal Cystoid Map Representation in Optical Coherence Tomography Images. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2019. EUROCAST 2019. Lecture Notes in Computer Science(), vol 12014. Springer, Cham. https://doi.org/10.1007/978-3-030-45096-0_34
Resumo
[Abstract]: Fluid accumulations in between the retinal layers represent one of the main causes of blindness in developed countries. Currently, these fluid accumulations are detected by means of a manual inspection of Optical Coherence Tomography images, prone to subjective and non-quantifiable diagnostics. For this reason, numerous works aimed for an automated methodology. Nonetheless, these systems mostly focus on obtaining a defined segmentation, which is not always possible. For this reason, we present in this work a fully automatic methodology based in a fuzzy and confidence-based visualization of a regional analysis, allowing the clinicians to study the fluid accumulations independently of their distribution, complications and/or other artifacts that may complicate the identification process.
Palabras chave
Optical Coherence Tomography
Intraretinal cystoid fluid regions
Computer-aided diagnosis
Pathology map generation
Intraretinal cystoid fluid regions
Computer-aided diagnosis
Pathology map generation
Descrición
This version of the conference paper has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-030-45096-0_34. 17th International Conference on Computer Aided Systems Theory, EUROCAST 2019, Las Palmas de Gran Canaria, Spain, February 17–22, 2019. Includes the extended abstract.
Versión do editor
Dereitos
© 2020 Springer Nature Switzerland AG
ISSN
0302-9743
ISBN
978-3-030-45095-3 978-3-030-45096-0