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Adaptive layered neighborhood radius method for abnormal brain tissue case classification

A brain-tissue, adaptive technology for medical informatics applications

Inactive Publication Date: 2016-10-12
NANTONG UNIVERSITY
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Problems solved by technology

Therefore, the method designed for the classification of abnormal brain tissue medical records is facing great challenges in both academic research and technical application.

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  • Adaptive layered neighborhood radius method for abnormal brain tissue case classification
  • Adaptive layered neighborhood radius method for abnormal brain tissue case classification
  • Adaptive layered neighborhood radius method for abnormal brain tissue case classification

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specific Embodiment approach

[0059] Such as Figure 1-Figure 3 A specific implementation of the self-adaptive hierarchical neighborhood radius method for classification of abnormal brain tissue medical records is shown: comprising the following steps:

[0060] A. Construct a four-layer structure segmentation framework based on adaptive neighborhood radius, and divide each i-layer L i Corresponding to the i-th neighborhood radius R i Efficient solution of , and based on the abnormal brain tissue neighborhood radius distribution matrix NRDM n×n Stratify the brain tissue medical records, and then calculate the correlation coefficient C between different brain tissue proportion vectors in the i-th layer and different brain tissue proportion vectors in the j-th layer 4 (i, j), and then adaptively adjust the neighborhood radius R through iterative calculation i (l+1), collaborative populations share optimization experience within their corresponding neighborhood radius, and participate in the classification ...

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Abstract

The invention discloses an adaptive layered neighborhood radius method for classifying abnormal brain tissue medical records, which comprises the following steps: first constructing a four-layer structural segmentation framework based on the adaptive neighborhood radius, and assigning each layer to a neighborhood The effective solution of the radius is to adaptively adjust the neighborhood radius through iterative calculations; then, the interaction of the neighborhood radius within the same layer and the cascade operation of the neighborhood radius between different layers are performed on the medical records of abnormal brain tissue. The present invention can effectively extract the attribute characteristics of different regions inside the medical records of abnormal brain tissue, improve the classification efficiency of different longitudinal cortical surface labels of brain tissue, and have good effects on early prevention of abnormal brain diseases and delaying the onset of brain diseases.

Description

technical field [0001] The invention relates to the field of medical information, in particular to an adaptive hierarchical neighborhood radius method for classifying abnormal brain tissue medical records. Background technique [0002] The brain tissue in the electronic medical record system includes scalp, subcutaneous fat, skull, endometrium, gray matter, white matter, cerebrospinal fluid, and blood vessels. These brain tissue data have the characteristics of multi-source, heterogeneous, and dynamic changes. In addition, the brain tissue structure itself Containing neuron cell bodies, including connection and efferent nerve fibers, traditional classification methods tend to change the regular components of medical record attributes in the original brain tissue to varying degrees, and most of the current computer-aided intelligent medical diagnosis systems feature selection of brain tissue medical records The classification and classification are all determined by the clini...

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Application Information

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IPC IPC(8): G06Q50/24G16H10/60
CPCG06Q50/24
Inventor 丁卫平张晓峰王杰华陈森博董建成管致锦程学云李跃华
Owner NANTONG UNIVERSITY
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