Children intussusception diagnosis intelligent analysis system based on multi-modal fusion
The invention discloses a children intussusception diagnosis intelligent analysis system based on multi-modal fusion. The system comprises a children intussusception relation extraction model, a text feature extraction model, an ultrasonic image quality control model, a structured data feature extra...
Gespeichert in:
Hauptverfasser: | , , , , , , , , |
---|---|
Format: | Patent |
Sprache: | chi ; eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | LI ZHEMING SONG CHUNZE HUANG JIAN SHEN CHEN LI JING CHEN XING HUANG SHOUJIANG DUAN MENGYU YU GANG |
description | The invention discloses a children intussusception diagnosis intelligent analysis system based on multi-modal fusion. The system comprises a children intussusception relation extraction model, a text feature extraction model, an ultrasonic image quality control model, a structured data feature extraction model and a feature fusion model. The children intussusception relation extraction model is used for constructing a children intussusception knowledge graph; the text feature extraction model is used for extracting text features in the original diagnosis medical record and the ultrasonic diagnosis report; the ultrasonic image quality control model is used for extracting image features in the child intussusception ultrasonic image; the structured data feature extraction model is used for extracting structured data features in the child intussusception laboratory data; the feature fusion model is used for fusing text features, image features and structured data features, and after high-dimensional features are |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN114188021A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN114188021A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN114188021A3</originalsourceid><addsrcrecordid>eNqNjDEOwjAMRbswIOAO4QCVCDB0RRGIiYmJpTKN21pynAgnQ29PK3EApi-99_TX1cuNxP6DYkhyUS3aYcoUxXiCQaKSLgaZaUDJBgR4WqBOmjGYNyh6M-ehcKY6RA9s-qLzw7Za9cCKu99uqv3t-nT3GlNsURN0KJhb97D2bJvmcLSX0z_NF901PDw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Children intussusception diagnosis intelligent analysis system based on multi-modal fusion</title><source>esp@cenet</source><creator>LI ZHEMING ; SONG CHUNZE ; HUANG JIAN ; SHEN CHEN ; LI JING ; CHEN XING ; HUANG SHOUJIANG ; DUAN MENGYU ; YU GANG</creator><creatorcontrib>LI ZHEMING ; SONG CHUNZE ; HUANG JIAN ; SHEN CHEN ; LI JING ; CHEN XING ; HUANG SHOUJIANG ; DUAN MENGYU ; YU GANG</creatorcontrib><description>The invention discloses a children intussusception diagnosis intelligent analysis system based on multi-modal fusion. The system comprises a children intussusception relation extraction model, a text feature extraction model, an ultrasonic image quality control model, a structured data feature extraction model and a feature fusion model. The children intussusception relation extraction model is used for constructing a children intussusception knowledge graph; the text feature extraction model is used for extracting text features in the original diagnosis medical record and the ultrasonic diagnosis report; the ultrasonic image quality control model is used for extracting image features in the child intussusception ultrasonic image; the structured data feature extraction model is used for extracting structured data features in the child intussusception laboratory data; the feature fusion model is used for fusing text features, image features and structured data features, and after high-dimensional features are</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; HANDLING RECORD CARRIERS ; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2022</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=20220315&DB=EPODOC&CC=CN&NR=114188021A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220315&DB=EPODOC&CC=CN&NR=114188021A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LI ZHEMING</creatorcontrib><creatorcontrib>SONG CHUNZE</creatorcontrib><creatorcontrib>HUANG JIAN</creatorcontrib><creatorcontrib>SHEN CHEN</creatorcontrib><creatorcontrib>LI JING</creatorcontrib><creatorcontrib>CHEN XING</creatorcontrib><creatorcontrib>HUANG SHOUJIANG</creatorcontrib><creatorcontrib>DUAN MENGYU</creatorcontrib><creatorcontrib>YU GANG</creatorcontrib><title>Children intussusception diagnosis intelligent analysis system based on multi-modal fusion</title><description>The invention discloses a children intussusception diagnosis intelligent analysis system based on multi-modal fusion. The system comprises a children intussusception relation extraction model, a text feature extraction model, an ultrasonic image quality control model, a structured data feature extraction model and a feature fusion model. The children intussusception relation extraction model is used for constructing a children intussusception knowledge graph; the text feature extraction model is used for extracting text features in the original diagnosis medical record and the ultrasonic diagnosis report; the ultrasonic image quality control model is used for extracting image features in the child intussusception ultrasonic image; the structured data feature extraction model is used for extracting structured data features in the child intussusception laboratory data; the feature fusion model is used for fusing text features, image features and structured data features, and after high-dimensional features are</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjDEOwjAMRbswIOAO4QCVCDB0RRGIiYmJpTKN21pynAgnQ29PK3EApi-99_TX1cuNxP6DYkhyUS3aYcoUxXiCQaKSLgaZaUDJBgR4WqBOmjGYNyh6M-ehcKY6RA9s-qLzw7Za9cCKu99uqv3t-nT3GlNsURN0KJhb97D2bJvmcLSX0z_NF901PDw</recordid><startdate>20220315</startdate><enddate>20220315</enddate><creator>LI ZHEMING</creator><creator>SONG CHUNZE</creator><creator>HUANG JIAN</creator><creator>SHEN CHEN</creator><creator>LI JING</creator><creator>CHEN XING</creator><creator>HUANG SHOUJIANG</creator><creator>DUAN MENGYU</creator><creator>YU GANG</creator><scope>EVB</scope></search><sort><creationdate>20220315</creationdate><title>Children intussusception diagnosis intelligent analysis system based on multi-modal fusion</title><author>LI ZHEMING ; SONG CHUNZE ; HUANG JIAN ; SHEN CHEN ; LI JING ; CHEN XING ; HUANG SHOUJIANG ; DUAN MENGYU ; YU GANG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114188021A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>LI ZHEMING</creatorcontrib><creatorcontrib>SONG CHUNZE</creatorcontrib><creatorcontrib>HUANG JIAN</creatorcontrib><creatorcontrib>SHEN CHEN</creatorcontrib><creatorcontrib>LI JING</creatorcontrib><creatorcontrib>CHEN XING</creatorcontrib><creatorcontrib>HUANG SHOUJIANG</creatorcontrib><creatorcontrib>DUAN MENGYU</creatorcontrib><creatorcontrib>YU GANG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LI ZHEMING</au><au>SONG CHUNZE</au><au>HUANG JIAN</au><au>SHEN CHEN</au><au>LI JING</au><au>CHEN XING</au><au>HUANG SHOUJIANG</au><au>DUAN MENGYU</au><au>YU GANG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Children intussusception diagnosis intelligent analysis system based on multi-modal fusion</title><date>2022-03-15</date><risdate>2022</risdate><abstract>The invention discloses a children intussusception diagnosis intelligent analysis system based on multi-modal fusion. The system comprises a children intussusception relation extraction model, a text feature extraction model, an ultrasonic image quality control model, a structured data feature extraction model and a feature fusion model. The children intussusception relation extraction model is used for constructing a children intussusception knowledge graph; the text feature extraction model is used for extracting text features in the original diagnosis medical record and the ultrasonic diagnosis report; the ultrasonic image quality control model is used for extracting image features in the child intussusception ultrasonic image; the structured data feature extraction model is used for extracting structured data features in the child intussusception laboratory data; the feature fusion model is used for fusing text features, image features and structured data features, and after high-dimensional features are</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN114188021A |
source | esp@cenet |
subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING HANDLING RECORD CARRIERS HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
title | Children intussusception diagnosis intelligent analysis system based on multi-modal fusion |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T13%3A17%3A40IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=LI%20ZHEMING&rft.date=2022-03-15&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN114188021A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |