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标题: "A Novel Approach to Improving Prostate Cancer Diagnosis through Magnetic Resonance Imaging and Machine Learning"
摘要: "Diagnosing prostate cancer (PCa) remains a major challenge in clinical practice. Magnetic resonance imaging (MRI) is a promising modality for PCa characterization, but its diagnostic accuracy is limited by interreader variability and subjectivity. Machine learning has the potential to improve the diagnostic accuracy of MRI. In this study, we present a novel approach to PCa diagnosis that combines MRI with machine learning."
标题: "一种通过磁共振成像和机器学习改善前列腺癌诊断的新方法."

摘要: "在临床实践中，前列腺癌（PCa）的诊断仍是一个重要的挑战。磁共振成像（MRI）是一种有前途的 PCa 描述方式，但其诊断准确性受到读者间变异性和主观性的限制。机器学习有可能提高 MRI 的诊断准确性。在这项研究中，我们提出了一种新的 PCa 诊断方法，将 MRI 和机器学习相结合。"