Article

Leveraging Pretrained Models for Multimodal Medical Image Interpretation: An Exhaustive Experimental Analysis

2024-08-10

Abstract excerpt

Artificial intelligence (AI) in radiology, particularly pretrained machine learning models, holds promise for overcoming image interpretation complexities and improving diagnostic accuracy. Although extensive research highlights their potential, challenges remain in adapting these models for generalizability across diverse medical image modalities, such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT)...

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Literature Corpus work: f516e88d-65f0-591a-888f-f29a90411108
DOI: 10.1101/2024.08.09.24311762

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