RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training

arXiv:2403.09948v1 Announce Type: new
Abstract: The integration of artificial intelligence (AI) with radiology has marked a transformative era in medical diagnostics. Vision foundation models have been adopted to enhance radiologic imaging analysis. However, the distinct complexities of radiological imaging, including the interpretation of 2D and 3D radiological data, pose unique challenges that existing models, trained on general non-medical images, fail to address adequately. To bridge this gap and capitalize on the diagnostic precision required in medical imaging, we introduce RadCLIP: …

abstract analysis artificial artificial intelligence arxiv challenges complexities cs.ai cs.cv data diagnostics foundation however image imaging integration intelligence interpretation language medical pre-training radiology through training type vision