March 26, 2024, 4:48 a.m. | Vijay Kumar, Kolin Paul

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.15522v1 Announce Type: cross
Abstract: Continuous advancements in medical technology have led to the creation of affordable mobile imaging devices suitable for telemedicine and remote monitoring. However, the rapid examination of large populations poses challenges, including the risk of fraudulent practices by healthcare professionals and social workers exchanging unverified images via mobile applications. To mitigate these risks, this study proposes using watermarking techniques to embed a device fingerprint (DFP) into captured images, ensuring data provenance. The DFP, representing the unique …

abstract arxiv challenges continuous cs.cr cs.cv cyber data data provenance devices healthcare however image image data images imaging medical mobile monitoring practices professionals provenance remote monitoring risk social technology telemedicine type via workers

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US