Lung CAD system can provide auxiliary third-party opinions for doctors, improve the accuracy of lung nodule recognition. The selection and fusion of nodule features and the advancement of recognition algorithms are cr...
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Lung CAD system can provide auxiliary third-party opinions for doctors, improve the accuracy of lung nodule recognition. The selection and fusion of nodule features and the advancement of recognition algorithms are crucial improving lung CAD systems. Based on the HDL model, this paper mainly focuses on the three key algorithms of feature extraction, feature fusion and nodule recognition of lung CAD system. First, CBAM is embedded into VGG16 and VGG19, and feature extraction models AE-VGG16 and AE-VGG19 are constructed, so that the network can pay more attention to the key feature information in nodule description. Then, feature dimensionality reduction based on PCA and feature fusion based on CCA are sequentially performed on the extracted depth features to obtain low-dimensional fusion features. Finally, the fusion features are input into the proposed MKL-SVM-IPSO model based on the improved Particle Swarm Optimization algorithm to speed up the training speed, get the global optimal parameter group. The public dataset LUNA16 was selected for the experiment. The results show that the accuracy of lung nodule recognition of the proposed lung CAD system can reach 99.56%, and the sensitivity and F1-score can reach 99.3% and 0.9965, respectively, which can reduce the possibility of false detection and missed detection of nodules.
Federated learning allows edge devices to collaboratively learn a shared model while keeping the training data on device, decoupling the ability to do model training from the need to store the data in the cloud. We pr...
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This research focuses on the problem of creating a short summary for every page in a physical book. This will enable students, professors, lawyers and others to get the most important points of every page in the book ...
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The MiCLAD machine designed at the VUB, Belgium, allows for closed-loop controlled laser metal deposition including various in-situ optical based measurement systems. These integrated sensors collect information on de...
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Spike-timing-dependent-plasticity (STDP) is the learning algorithm for spiking neural network (SNN), which promises to obtain deeper understanding of biological neural system and more powerful artificial intelligence....
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Sociological studies show that the use of mobile phones in the whole worldwide has attained a record level. This phenomenon has influenced the field of education. The integration of mobile technologies into teaching c...
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In recent years, samples are usually represented with different views of features. Although the features from different views represent the same sample, they are heterogeneous and the information contained in one view...
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Beach sand minerals (BSM) contains different economic minerals, out of which seven minerals viz. Ilmenitev, Rutile, Leucoxene, Zircon, Sillimanite, Garnet and Monazite are important ones. These minerals have different...
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A supervised learning algorithm can be categorized into different forms and one of this is classification where the main goal is to predict the categorical class labels of structured or unstructured data. However, it ...
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We explore the related problems of topic detection within the stream of news sources collected by newspapers aggregators. In this paper, we focus on evaluating the effectiveness of the collaboration between preprocess...
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