卷积神经网络检测肺炎

In this blog, I will outline how to build a reliable image classification model using a convolutional neural network to detect the presence of pneumonia from chest X-ray images.

在此博客中，我将概述如何使用卷积神经网络建立可靠的图像分类模型，以从胸部X射线图像检测肺炎的存在。

Pneumonia is a common infection that inflames the air sacs in the lungs causing symptoms such as difficulty breathing and fever. Even though pneumonia is not difficult to treat, a timely diagnosis is crucial. Without proper treatment, pneumonia can become fatal especially among children and elders. Chest X-ray is an affordable method for the diagnosis of pneumonia. Developing a model that can reliably classify pneumonia from X-ray images can alleviate a load of physicians in the areas where the demand is high.

肺炎是一种常见的感染，会感染肺中的气囊，导致呼吸困难和发烧等症状。 即使不难治疗肺炎，及时诊断也至关重要。 没有适当的治疗，肺炎可能会致命，尤其是在儿童和老年