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A Deep Feature Learning Model for Pneumonia Detection Applying a Combination of MRMR Feature Selection and Machine Learning Technique

机译:一种应用MRMR特征选择和机器学习技术组合的肺炎检测深度特征学习模型

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Pneumonia causes the death of around 700,000 children every year and affects 7% of the global population. Chest X-rays are primarily used for the diagnosis of this disease. However, even for a trained radiologist, it is a challenging task to examine chest X-rays. There is a need to improve the diagnosis accuracy. In this work, an efficient model for the detection of pneumonia trained on digital chest X-ray images is proposed,....
机译:肺炎每年导致约70万儿童死亡,并影响全球人口的7%。 胸部X射线主要用于诊断这种疾病。 然而,即使对于训练有素的放射科医师,也是一种挑战的任务,可以检查胸部X射线。 需要提高诊断精度。 在这项工作中,提出了一种在数字胸部X射线图像上培训的肺炎检测的有效模型,....

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