Transform-based brain magnetic resonance image feature extraction method
The invention discloses a brain magnetic resonance image feature extraction method based on Transform. The method specifically comprises the following steps: (1) constructing a feature extraction model for brain magnetic resonance image feature extraction of each site; (2) collecting brain magnetic...
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| creator | ZHAO SHANHUI SUN DAOQING LIU ZIFAN CHEN FULONG ZHU SAISAI |
| description | The invention discloses a brain magnetic resonance image feature extraction method based on Transform. The method specifically comprises the following steps: (1) constructing a feature extraction model for brain magnetic resonance image feature extraction of each site; (2) collecting brain magnetic resonance images, inputting the brain magnetic resonance images into the feature extraction model of the site corresponding to the features, and outputting brain static blood oxygen signals and genders corresponding to the brain static blood oxygen signals by the feature extraction model. The brain magnetic resonance image feature extraction performance is improved, and a more effective feature extraction method is provided for diagnosing brain diseases through brain magnetic resonance images in the future.
本发明公开一种基于Transformer的脑部磁共振图像的特征提取方法，具体如下：(1)构建每个站点用于脑部磁共振图像特征提取的特征提取模型；(2)采集到脑部磁共振图像输入对应特征对应站点的特征提取模型，特征提取模型输出脑部静态血氧信号及其对应的性别。提高了脑部磁共振图像特征提取的性能，并为今后通过脑部磁共振图像诊断脑部疾病提供更加有效的特征提取方法。 |
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本发明公开一种基于Transformer的脑部磁共振图像的特征提取方法，具体如下：(1)构建每个站点用于脑部磁共振图像特征提取的特征提取模型；(2)采集到脑部磁共振图像输入对应特征对应站点的特征提取模型，特征提取模型输出脑部静态血氧信号及其对应的性别。提高了脑部磁共振图像特征提取的性能，并为今后通过脑部磁共振图像诊断脑部疾病提供更加有效的特征提取方法。</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240329&DB=EPODOC&CC=CN&NR=117788403A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240329&DB=EPODOC&CC=CN&NR=117788403A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHAO SHANHUI</creatorcontrib><creatorcontrib>SUN DAOQING</creatorcontrib><creatorcontrib>LIU ZIFAN</creatorcontrib><creatorcontrib>CHEN FULONG</creatorcontrib><creatorcontrib>ZHU SAISAI</creatorcontrib><title>Transform-based brain magnetic resonance image feature extraction method</title><description>The invention discloses a brain magnetic resonance image feature extraction method based on Transform. The method specifically comprises the following steps: (1) constructing a feature extraction model for brain magnetic resonance image feature extraction of each site; (2) collecting brain magnetic resonance images, inputting the brain magnetic resonance images into the feature extraction model of the site corresponding to the features, and outputting brain static blood oxygen signals and genders corresponding to the brain static blood oxygen signals by the feature extraction model. The brain magnetic resonance image feature extraction performance is improved, and a more effective feature extraction method is provided for diagnosing brain diseases through brain magnetic resonance images in the future.
本发明公开一种基于Transformer的脑部磁共振图像的特征提取方法，具体如下：(1)构建每个站点用于脑部磁共振图像特征提取的特征提取模型；(2)采集到脑部磁共振图像输入对应特征对应站点的特征提取模型，特征提取模型输出脑部静态血氧信号及其对应的性别。提高了脑部磁共振图像特征提取的性能，并为今后通过脑部磁共振图像诊断脑部疾病提供更加有效的特征提取方法。</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjLEKwkAQBa-xkOg_rB8QMERIWgmGVFbpw-byTg_MXdhbwc_3Cj_AamAYZm-GUTgkF2UtZ05YaBb2gVZ-BKi3JEgxcLAgnx3IgfUtIHxU2KqPuYU-43IwO8evhOOPhTn1t7EbSmxxQtrYIh-n7l5VTdO2l3N9rf9pvtiLNMg</recordid><startdate>20240329</startdate><enddate>20240329</enddate><creator>ZHAO SHANHUI</creator><creator>SUN DAOQING</creator><creator>LIU ZIFAN</creator><creator>CHEN FULONG</creator><creator>ZHU SAISAI</creator><scope>EVB</scope></search><sort><creationdate>20240329</creationdate><title>Transform-based brain magnetic resonance image feature extraction method</title><author>ZHAO SHANHUI ; SUN DAOQING ; LIU ZIFAN ; CHEN FULONG ; ZHU SAISAI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117788403A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHAO SHANHUI</creatorcontrib><creatorcontrib>SUN DAOQING</creatorcontrib><creatorcontrib>LIU ZIFAN</creatorcontrib><creatorcontrib>CHEN FULONG</creatorcontrib><creatorcontrib>ZHU SAISAI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHAO SHANHUI</au><au>SUN DAOQING</au><au>LIU ZIFAN</au><au>CHEN FULONG</au><au>ZHU SAISAI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Transform-based brain magnetic resonance image feature extraction method</title><date>2024-03-29</date><risdate>2024</risdate><abstract>The invention discloses a brain magnetic resonance image feature extraction method based on Transform. The method specifically comprises the following steps: (1) constructing a feature extraction model for brain magnetic resonance image feature extraction of each site; (2) collecting brain magnetic resonance images, inputting the brain magnetic resonance images into the feature extraction model of the site corresponding to the features, and outputting brain static blood oxygen signals and genders corresponding to the brain static blood oxygen signals by the feature extraction model. The brain magnetic resonance image feature extraction performance is improved, and a more effective feature extraction method is provided for diagnosing brain diseases through brain magnetic resonance images in the future.
本发明公开一种基于Transformer的脑部磁共振图像的特征提取方法，具体如下：(1)构建每个站点用于脑部磁共振图像特征提取的特征提取模型；(2)采集到脑部磁共振图像输入对应特征对应站点的特征提取模型，特征提取模型输出脑部静态血氧信号及其对应的性别。提高了脑部磁共振图像特征提取的性能，并为今后通过脑部磁共振图像诊断脑部疾病提供更加有效的特征提取方法。</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
| title | Transform-based brain magnetic resonance image feature extraction method |
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