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VisionCLIP: An Med-AIGC based Ethical Language-Image Foundation Model for Generalizable Retina Image Analysis
March 19, 2024, 4:47 a.m. | Hao Wei, Bowen Liu, Minqing Zhang, Peilun Shi, Wu Yuan
cs.CV updates on arXiv.org arxiv.org
Abstract: Generalist foundation model has ushered in newfound capabilities in medical domain. However, the contradiction between the growing demand for high-quality annotated data with patient privacy continues to intensify. The utilization of medical artificial intelligence generated content (Med-AIGC) as an inexhaustible resource repository arises as a potential solution to address the aforementioned challenge. Here we harness 1 million open-source synthetic fundus images paired with natural language descriptions, to curate an ethical language-image foundation model for retina …
abstract aigc analysis annotated data artificial artificial intelligence arxiv capabilities cs.ai cs.cv data demand domain ethical foundation foundation model generated however image intelligence language medical medical artificial intelligence patient privacy quality type
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