Medical imaging analysis is an effective technique and process for visualizing the human body’s interior to diagnose, monitor, and treat medical conditions. Artificial Intelligence (AI) brings new opportunities for improvement, with multiple applications in all levels of the radiology workflow. This paper presents a solution that leverages state-of-the-art models and architectures to assemble a modular pipeline for detection, segmentation, measurement, and scoring, that builds up to an optimized clinical report for medical imaging analysis and diagnosis. The proposed approach is designed to be flexible and tailor-made to an end facility’s needs and data, helping the radiologist’s effectiveness.
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