Deep Learning applications to detect pneumonia on chest X-ray: A systematic study

Neenu Sebastian, B. Ankayarkanni
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引用次数: 4

Abstract

Pneumonia is serious infection that affects the air sacs in our lungs of our body. Air sacs plays a vital role in the procedure of our breathing process. When the lungs are infected by bacterial or viral infection these air sacs will get filled with pus or fluid. As a result, this infection causes fever, cough and leads to a serious medical condition called pneumonia. The severity of this infection can range from mild to severe. It goes to a life-threatening situation in case of infants, young children and old aged people. The doctors use chest X-rays for the confirmation infection. Analyzing the chest x-rays for the detection of pneumonia infection by the doctors visually by naked eyes is time consuming process. Computer aided diagnosis helps the doctors for the faster and accurate detection of Pneumonia infection on chest X-rays. Computer aided diagnosis uses the CNN models for the confirmation of pneumonia which have achieved better performance than humanbeings
深度学习在胸部x线肺炎检测中的应用:一项系统研究
肺炎是一种严重的感染,影响我们身体肺部的气囊。气囊在我们的呼吸过程中起着至关重要的作用。当肺部被细菌或病毒感染时,这些气囊会充满脓液或液体。因此,这种感染会引起发烧、咳嗽,并导致一种叫做肺炎的严重疾病。这种感染的严重程度从轻微到严重不等。在婴儿、幼儿和老年人的情况下,它会危及生命。医生用胸部x光片确诊感染。医生通过肉眼对胸片进行分析以检测肺炎感染是一个耗时的过程。计算机辅助诊断帮助医生在胸部x光片上更快、更准确地检测肺炎感染。计算机辅助诊断采用CNN模型对肺炎进行确诊,取得了比人类更好的表现
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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