Globally, pneumonia is the leading cause of death for young people and children. An X-ray of the chest is usually used to diagnose pneumonia by a trained specialist. However, the process is tedious and can result in d...
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image restoration is a hot issue in the field of imageprocessing. Traditional algorithms approach the original function by a regular function or remove redundant noise by similarity. This process is complicated and c...
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It may achieve auto segmentation to construct 2 D histogram utilizing 2 D entropy. Habitual approach practices center gray scale and average scale of points in the same 4 neighbor. Actually, the horizontal or vertical...
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The decision tree classification algorithm identifies category patterns in data by constructing a tree like structure, while the decision tree regression algorithm predicts the trend of continuous numerical changes ba...
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As global environmental problems are becoming more and more serious, satellite image segmentation and automatic monitoring of forests and water bodies are becoming more and more important in order to prevent natural d...
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COVID-19 has become a worldwide disease that draws researchersҠattention, and people have tried deep learning based methods to boost the diagnosis. It is crucial to design an algorithm for automatic Pneumonia Diagnosi...
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Diabetic retinopathy is a serious ocular complication caused by diabetes, has now become the main reason for the workforce blinding, using digital fundus image for diabetic retinopathy screening regularly is the key t...
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In order to solve the soft field effect in capacitance tomography lead to the problem of low quality of image reconstruction, this paper proposes an image reconstruction algorithm based on improved multi-scale residua...
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Multimodal information fusion can extract the important feature information of each modality and realize the information complementation between the modalities, which is a research direction of considerable interest a...
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In recent years, driven by the development of deep neural networks, image denoising technology has made great progress. One of the most representative technologies is the deep neural network denoiser based on supervis...
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