Scientists proposed a new AI-assisted diagnostic method for pulmonary nodules.
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The Hefei Institutes of Physical Science, Chinese Academy of Sciences research team proposed a new AI-assisted diagnostic method for pulmonary nodules based on chest CT images, simulating the doctor's 'macro-meso-micro' diagnostic process. It improved the classification accuracy of pulmonary nodule benignity and other indicators on the LIDC-IDRI and USTC-FHLN datasets, showing significant advantages in differentiating difficult pulmonary nodules.
AI-written from the reports · Updated yesterday
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- ITHome · AIChinese scientists propose a new AI-assisted diagnostic method for pulmonary nodules called M³Net
A research team from the Hefei Institutes of Physical Science, Chinese Academy of Sciences, has proposed a new AI-assisted diagnostic method for pulmonary nodules based on chest CT images, simulating the doctor's 'macro-meso-micro' diagnostic process. It improves indicators such as the accuracy rate of benign and malignant classification of pulmonary nodules on the LIDC-IDRI and USTC-FHLN datasets, especially showing significant advantages in differentiating difficult pulmonary nodules.
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