chest-xray-pneumonia

Medical Symptoms are sometimes very tricky to analyse in real time as it takes time for example, first to detect the symptoms then to perform some tests and finally coming to a solution. This process can be eliminated and lot of time can be saved by introducing the concept of Deep learning. CNNs create a network for extracting the features of a given image in order to evaluate the image based on the conditions required. This property of the CNN is used as a certain advantage in order to detect the symptoms based on the type of X-ray images provided.

在实时分析医学症状时，有时颇具挑战性，例如，首先需识别症状，随后执行相关检测，最终得出结论。通过引入深度学习的概念，可以消除这一过程，从而节省大量时间。卷积神经网络（CNN）能够构建一个网络，用以提取给定图像的特征，以便根据所需条件对图像进行评估。CNN的这一特性被充分利用，以基于提供的X射线图像类型检测症状。