Key Technology of the Medical Image Wise Mining Method Based on the Meanshift Algorithm
Mean-shift originally refers to the mean vector of the offset. The algorithm idea is to assume that the data sets of different clusters conform to different probability density distributions, and the area with high sample density corresponds to the center of the cluster. With the wide application of...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Emergency Medicine International |
| Online Access: | http://dx.doi.org/10.1155/2022/6711043 |
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| _version_ | 1849306811835875328 |
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| author | Jinli Cui Yadong Wang Ke Wang |
| author_facet | Jinli Cui Yadong Wang Ke Wang |
| author_sort | Jinli Cui |
| collection | DOAJ |
| description | Mean-shift originally refers to the mean vector of the offset. The algorithm idea is to assume that the data sets of different clusters conform to different probability density distributions, and the area with high sample density corresponds to the center of the cluster. With the wide application of hospital information system, especially the popularity of the meanshift algorithm in the outpatient system, it has greatly improved the efficiency of medical staff. Medical imaging refers to the technology and process of obtaining internal tissue images of the human body or a certain part of the human body in a noninvasive manner for medical treatment or medical research. It contains the following two relatively independent research directions: medical imaging system and medical image processing. In this paper, we expect to improve the mining ability of medical image information with the help of the meanshift algorithm based on the key technology of the medical image intelligent mining algorithm. This paper proposes a method to enhance image feature extraction and data mining and how to apply relevant analysis rules for mining. Applying this integrated algorithm to extract simplified rules is more beneficial to people’s understanding than the raw data and helps doctors quickly understand the patient’s condition. |
| format | Article |
| id | doaj-art-279f4c8db29a4aed976055f4208d980c |
| institution | Kabale University |
| issn | 2090-2859 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Emergency Medicine International |
| spelling | doaj-art-279f4c8db29a4aed976055f4208d980c2025-08-20T03:54:57ZengWileyEmergency Medicine International2090-28592022-01-01202210.1155/2022/6711043Key Technology of the Medical Image Wise Mining Method Based on the Meanshift AlgorithmJinli Cui0Yadong Wang1Ke Wang2Department of RadiologyDepartment of Computer Science and TechnologyDepartment of RadiologyMean-shift originally refers to the mean vector of the offset. The algorithm idea is to assume that the data sets of different clusters conform to different probability density distributions, and the area with high sample density corresponds to the center of the cluster. With the wide application of hospital information system, especially the popularity of the meanshift algorithm in the outpatient system, it has greatly improved the efficiency of medical staff. Medical imaging refers to the technology and process of obtaining internal tissue images of the human body or a certain part of the human body in a noninvasive manner for medical treatment or medical research. It contains the following two relatively independent research directions: medical imaging system and medical image processing. In this paper, we expect to improve the mining ability of medical image information with the help of the meanshift algorithm based on the key technology of the medical image intelligent mining algorithm. This paper proposes a method to enhance image feature extraction and data mining and how to apply relevant analysis rules for mining. Applying this integrated algorithm to extract simplified rules is more beneficial to people’s understanding than the raw data and helps doctors quickly understand the patient’s condition.http://dx.doi.org/10.1155/2022/6711043 |
| spellingShingle | Jinli Cui Yadong Wang Ke Wang Key Technology of the Medical Image Wise Mining Method Based on the Meanshift Algorithm Emergency Medicine International |
| title | Key Technology of the Medical Image Wise Mining Method Based on the Meanshift Algorithm |
| title_full | Key Technology of the Medical Image Wise Mining Method Based on the Meanshift Algorithm |
| title_fullStr | Key Technology of the Medical Image Wise Mining Method Based on the Meanshift Algorithm |
| title_full_unstemmed | Key Technology of the Medical Image Wise Mining Method Based on the Meanshift Algorithm |
| title_short | Key Technology of the Medical Image Wise Mining Method Based on the Meanshift Algorithm |
| title_sort | key technology of the medical image wise mining method based on the meanshift algorithm |
| url | http://dx.doi.org/10.1155/2022/6711043 |
| work_keys_str_mv | AT jinlicui keytechnologyofthemedicalimagewiseminingmethodbasedonthemeanshiftalgorithm AT yadongwang keytechnologyofthemedicalimagewiseminingmethodbasedonthemeanshiftalgorithm AT kewang keytechnologyofthemedicalimagewiseminingmethodbasedonthemeanshiftalgorithm |