Towards More Accurate and Complete Heterogeneous Iris Segmentation Using a Hybrid Deep Learning Approach

Accurate iris segmentation is a crucial preprocessing stage for computer-aided ophthalmic disease diagnosis. The quality of iris images taken under different camera sensors varies greatly, and thus accurate segmentation of heterogeneous iris databases is a huge challenge. At present, network archite...

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Detalles Bibliográficos
Autores principales: Meng, Yuan, Bao, Tie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501181/
https://www.ncbi.nlm.nih.gov/pubmed/36135411
http://dx.doi.org/10.3390/jimaging8090246

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501181/
https://www.ncbi.nlm.nih.gov/pubmed/36135411
http://dx.doi.org/10.3390/jimaging8090246

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