User: Guest  Login
Title:

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

Document type:
Journal Article
Author(s):
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...     »
Journal title abbreviation:
Biomed Opt Express
Year:
2023
Journal volume:
14
Journal issue:
10
Pages contribution:
5466-5483
Fulltext / DOI:
doi:10.1364/BOE.495438
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/37854552
Print-ISSN:
2156-7085
TUM Institution:
Klinik und Poliklinik für Augenheilkunde (Prof. Maier komm.)
 BibTeX