基于卷积神经网络的肺部疾病预测

Sanika Shirsat, S. Kedar
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引用次数: 0

摘要

人类最常见的疾病是肺部疾病,包括肺癌、肺炎和2020年的新冠肺炎。及时诊断肺部疾病是至关重要的。已经开发了许多机器学习和图像处理模型来服务于此目的。现有的算法有香草神经网络、胶囊网络和VGG。这里使用卷积神经网络,即CNN算法,基于胸部x线图像进行肺部疾病预测。用于实现的工具是spyder, Keras和TensorFlow。Kaggle存储库数据集用于提议的模型。该模型的平均准确率为93%。它将预测疾病是否为肺癌、肺炎、covid或非。
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Lungs Diseases Prediction based on Convolutional Neural Network
The most commonly found diseases in humanbeing is Lung diseases, which include Lung Cancer, Pneumonia and from 2020 Covid. It is essential that the lung diseases to be diagnosed timely. There are many machine learning and image processing models that have being developed to serve this purpose. The already existing algorithms serving this purpose are vanilla neural network, capsule network, and VGG. Here, Convolutional Neural Network i.e., CNN algorithm is used for lung diseases prediction based on images of Chest X-Ray. The tools used for implementation areSpyder, Keras and TensorFlow. The Kaggle repository dataset is used for the proposed model. The model yields 93% of mean accuracy. It will predict if the diseases arelung cancer, Pneumonia, covid or non.
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