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Titel:

Unobtrusive biometric data de-identification of fundus images using latent space disentanglement.

Dokumenttyp:
Journal Article
Autor(en):
Zhao, Zhihao; Faghihroohi, Shahrooz; Yang, Junjie; Huang, Kai; Navab, Nassir; Maier, Mathias; Nasseri, M Ali
Abstract:
With the incremental popularity of ophthalmic imaging techniques, anonymization of the clinical image datasets is becoming a critical issue, especially the fundus images, which would have unique patient-specific biometric content. Towards achieving a framework to anonymize ophthalmic images, we propose an image-specific de-identification method on the vascular structure of retinal fundus images while preserving important clinical features such as hard exudates. Our method calculates the contribu...     »
Zeitschriftentitel:
Biomed Opt Express
Jahr:
2023
Band / Volume:
14
Heft / Issue:
10
Seitenangaben Beitrag:
5466-5483
Volltext / DOI:
doi:10.1364/BOE.495438
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/37854552
Print-ISSN:
2156-7085
TUM Einrichtung:
Klinik und Poliklinik für Augenheilkunde (Prof. Maier komm.)
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