A lung disease detection method based on deep learning

• Main Authors: MA JINHUA, LIN LUOJIE
• Format: Patent
• Language: Chinese; English
• Published: 09.04.2019
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

The invention provides a lung disease detection method based on deep learning. According to the method, the feature extraction process is simplified, and the utilized network structure has universality; Compared with an existing deep learning method, the method has the advantages that the training speed of the model is increased, and higher accuracy can be obtained under the condition of fewer iterations. 本发明提供种基于深度学习的肺部疾病检测方法，该方法简化了提取特征的过程，利用的网络结构具有普适性；与现有的深度学习方法相比，本发明加快了模型的训练速度，在较少迭代次数的情况下可以得到较高的准确率。