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From Raw Data to Refined Images: Medical Imaging Quality Tuning
This article explores the critical process of image quality tuning in medical imaging, highlighting its significance in accurate diagnoses and groundbreaking research. It delves into the objective and subjective aspects of tuning, emphasizing the delicate balance between technological accuracy and human perception. It addresses common challenges in fine-tuning, such as contrasting metrics and patient variability, and discusses modalities-based adaptation.
December 4, 2023
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