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Development and validation of a pixel wise deep learning model to detect cataract on swept-source optical coherence tomography images.
Zéboulon, Pierre; Panthier, Christophe; Rouger, Hélène; Bijon, Jacques; Ghazal, Wassim; Gatinel, Damien.
Affiliation
  • Zéboulon P; Department of Ophthalmology, Rothschild Foundation, 25 Rue Manin, Paris 75019, France. Electronic address: pzeboulon@for.paris.
  • Panthier C; Department of Ophthalmology, Rothschild Foundation, 25 Rue Manin, Paris 75019, France.
  • Rouger H; Department of Ophthalmology, Rothschild Foundation, 25 Rue Manin, Paris 75019, France.
  • Bijon J; Department of Ophthalmology, Rothschild Foundation, 25 Rue Manin, Paris 75019, France.
  • Ghazal W; Department of Ophthalmology, Rothschild Foundation, 25 Rue Manin, Paris 75019, France.
  • Gatinel D; Department of Ophthalmology, Rothschild Foundation, 25 Rue Manin, Paris 75019, France.
J Optom ; 15 Suppl 1: S43-S49, 2022.
Article in En | MEDLINE | ID: mdl-36229338
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cataract / Deep Learning / Lens, Crystalline Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Optom Year: 2022 Document type: Article Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cataract / Deep Learning / Lens, Crystalline Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Optom Year: 2022 Document type: Article Country of publication: