Lung CT image data processing and analyzing method and system
The invention discloses a lung CT image data processing and analyzing method and system, and belongs to the technical field of medical image processing and artificial intelligence. The method comprises the steps of performing neural network training learning according to a lung CT image and a lung c...
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 | XU ZHENGQING PAN CHENGYAN SHEN JIANHU JIN HONGBO JIN BOFANG ZHAO WEI DAI DUWEI JIN SHUO ZHANG WEI WANG BO HOU XUEXUE |
description | The invention discloses a lung CT image data processing and analyzing method and system, and belongs to the technical field of medical image processing and artificial intelligence. The method comprises the steps of performing neural network training learning according to a lung CT image and a lung contour to obtain a lung contour segmentation model; performing neural network training learning according to the lung contour segmentation model and the target area to obtain a lung target area segmentation model; segmenting a lung target area, and performing training learning by using a classification network to obtain a CT horizontal scanning image data classification model; and determining the category of the lung CT image data according to the CT horizontal scanning image data classificationmodel. The system comprises a labeling module, a first training learning module, a second training learning module, a third training learning module and a calculation analysis module. . According tothe method, tThe processin |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN111340827A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN111340827A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN111340827A3</originalsourceid><addsrcrecordid>eNrjZLD1Kc1LV3AOUcjMTUxPVUhJLElUKCjKT04tLs4ESiTmpQBxYk5lFYiXm1qSkZ8CFiyuLC5JzeVhYE1LzClO5YXS3AyKbq4hzh66qQX58anFBYnJqXmpJfHOfoaGhsYmBhZG5o7GxKgBAM6xL5o</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Lung CT image data processing and analyzing method and system</title><source>esp@cenet</source><creator>XU ZHENGQING ; PAN CHENGYAN ; SHEN JIANHU ; JIN HONGBO ; JIN BOFANG ; ZHAO WEI ; DAI DUWEI ; JIN SHUO ; ZHANG WEI ; WANG BO ; HOU XUEXUE</creator><creatorcontrib>XU ZHENGQING ; PAN CHENGYAN ; SHEN JIANHU ; JIN HONGBO ; JIN BOFANG ; ZHAO WEI ; DAI DUWEI ; JIN SHUO ; ZHANG WEI ; WANG BO ; HOU XUEXUE</creatorcontrib><description>The invention discloses a lung CT image data processing and analyzing method and system, and belongs to the technical field of medical image processing and artificial intelligence. The method comprises the steps of performing neural network training learning according to a lung CT image and a lung contour to obtain a lung contour segmentation model; performing neural network training learning according to the lung contour segmentation model and the target area to obtain a lung target area segmentation model; segmenting a lung target area, and performing training learning by using a classification network to obtain a CT horizontal scanning image data classification model; and determining the category of the lung CT image data according to the CT horizontal scanning image data classificationmodel. The system comprises a labeling module, a first training learning module, a second training learning module, a third training learning module and a calculation analysis module. . According tothe method, tThe processin</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>2020</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=20200626&DB=EPODOC&CC=CN&NR=111340827A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200626&DB=EPODOC&CC=CN&NR=111340827A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>XU ZHENGQING</creatorcontrib><creatorcontrib>PAN CHENGYAN</creatorcontrib><creatorcontrib>SHEN JIANHU</creatorcontrib><creatorcontrib>JIN HONGBO</creatorcontrib><creatorcontrib>JIN BOFANG</creatorcontrib><creatorcontrib>ZHAO WEI</creatorcontrib><creatorcontrib>DAI DUWEI</creatorcontrib><creatorcontrib>JIN SHUO</creatorcontrib><creatorcontrib>ZHANG WEI</creatorcontrib><creatorcontrib>WANG BO</creatorcontrib><creatorcontrib>HOU XUEXUE</creatorcontrib><title>Lung CT image data processing and analyzing method and system</title><description>The invention discloses a lung CT image data processing and analyzing method and system, and belongs to the technical field of medical image processing and artificial intelligence. The method comprises the steps of performing neural network training learning according to a lung CT image and a lung contour to obtain a lung contour segmentation model; performing neural network training learning according to the lung contour segmentation model and the target area to obtain a lung target area segmentation model; segmenting a lung target area, and performing training learning by using a classification network to obtain a CT horizontal scanning image data classification model; and determining the category of the lung CT image data according to the CT horizontal scanning image data classificationmodel. The system comprises a labeling module, a first training learning module, a second training learning module, a third training learning module and a calculation analysis module. . According tothe method, tThe processin</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>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLD1Kc1LV3AOUcjMTUxPVUhJLElUKCjKT04tLs4ESiTmpQBxYk5lFYiXm1qSkZ8CFiyuLC5JzeVhYE1LzClO5YXS3AyKbq4hzh66qQX58anFBYnJqXmpJfHOfoaGhsYmBhZG5o7GxKgBAM6xL5o</recordid><startdate>20200626</startdate><enddate>20200626</enddate><creator>XU ZHENGQING</creator><creator>PAN CHENGYAN</creator><creator>SHEN JIANHU</creator><creator>JIN HONGBO</creator><creator>JIN BOFANG</creator><creator>ZHAO WEI</creator><creator>DAI DUWEI</creator><creator>JIN SHUO</creator><creator>ZHANG WEI</creator><creator>WANG BO</creator><creator>HOU XUEXUE</creator><scope>EVB</scope></search><sort><creationdate>20200626</creationdate><title>Lung CT image data processing and analyzing method and system</title><author>XU ZHENGQING ; PAN CHENGYAN ; SHEN JIANHU ; JIN HONGBO ; JIN BOFANG ; ZHAO WEI ; DAI DUWEI ; JIN SHUO ; ZHANG WEI ; WANG BO ; HOU XUEXUE</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN111340827A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2020</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>XU ZHENGQING</creatorcontrib><creatorcontrib>PAN CHENGYAN</creatorcontrib><creatorcontrib>SHEN JIANHU</creatorcontrib><creatorcontrib>JIN HONGBO</creatorcontrib><creatorcontrib>JIN BOFANG</creatorcontrib><creatorcontrib>ZHAO WEI</creatorcontrib><creatorcontrib>DAI DUWEI</creatorcontrib><creatorcontrib>JIN SHUO</creatorcontrib><creatorcontrib>ZHANG WEI</creatorcontrib><creatorcontrib>WANG BO</creatorcontrib><creatorcontrib>HOU XUEXUE</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>XU ZHENGQING</au><au>PAN CHENGYAN</au><au>SHEN JIANHU</au><au>JIN HONGBO</au><au>JIN BOFANG</au><au>ZHAO WEI</au><au>DAI DUWEI</au><au>JIN SHUO</au><au>ZHANG WEI</au><au>WANG BO</au><au>HOU XUEXUE</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Lung CT image data processing and analyzing method and system</title><date>2020-06-26</date><risdate>2020</risdate><abstract>The invention discloses a lung CT image data processing and analyzing method and system, and belongs to the technical field of medical image processing and artificial intelligence. The method comprises the steps of performing neural network training learning according to a lung CT image and a lung contour to obtain a lung contour segmentation model; performing neural network training learning according to the lung contour segmentation model and the target area to obtain a lung target area segmentation model; segmenting a lung target area, and performing training learning by using a classification network to obtain a CT horizontal scanning image data classification model; and determining the category of the lung CT image data according to the CT horizontal scanning image data classificationmodel. The system comprises a labeling module, a first training learning module, a second training learning module, a third training learning module and a calculation analysis module. . According tothe method, tThe processin</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN111340827A |
source | esp@cenet |
subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
title | Lung CT image data processing and analyzing method and system |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T22%3A59%3A24IST&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=XU%20ZHENGQING&rft.date=2020-06-26&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN111340827A%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 |