Capsule endoscopy video-based Crohn disease automatic diagnosis system
The invention discloses an automatic Crohn disease diagnosis system based on a capsule endoscopy video, and the system obtains a whole-course video through a video obtaining module, carries out the classification of the whole-course video through a small intestine video recognition module, extracts...
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| creator | CAI YINQI LI GUANBIN FAN DEJUN WU XIAOJIAN GAO FENG |
| description | The invention discloses an automatic Crohn disease diagnosis system based on a capsule endoscopy video, and the system obtains a whole-course video through a video obtaining module, carries out the classification of the whole-course video through a small intestine video recognition module, extracts a small intestine video in a target video, and carries out the classification of the whole-course video. The small intestine lesion detection module is used for carrying out feature extraction on each video frame in the small intestine segment video to determine the lesion probability in each video frame, the target video frame extraction module is used for averagely dividing the small intestine segment video into a plurality of segments of video, and for each segment of video, the plurality of video frames with the highest lesion probability in the video are extracted into a plurality of video frames with the highest lesion probability in the video; and determining a diagnosis result of the Crohn's disease through |
| format | Patent |
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The small intestine lesion detection module is used for carrying out feature extraction on each video frame in the small intestine segment video to determine the lesion probability in each video frame, the target video frame extraction module is used for averagely dividing the small intestine segment video into a plurality of segments of video, and for each segment of video, the plurality of video frames with the highest lesion probability in the video are extracted into a plurality of video frames with the highest lesion probability in the video; and determining a diagnosis result of the Crohn's disease through</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; 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</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=20240719&DB=EPODOC&CC=CN&NR=118366645A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240719&DB=EPODOC&CC=CN&NR=118366645A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>CAI YINQI</creatorcontrib><creatorcontrib>LI GUANBIN</creatorcontrib><creatorcontrib>FAN DEJUN</creatorcontrib><creatorcontrib>WU XIAOJIAN</creatorcontrib><creatorcontrib>GAO FENG</creatorcontrib><title>Capsule endoscopy video-based Crohn disease automatic diagnosis system</title><description>The invention discloses an automatic Crohn disease diagnosis system based on a capsule endoscopy video, and the system obtains a whole-course video through a video obtaining module, carries out the classification of the whole-course video through a small intestine video recognition module, extracts a small intestine video in a target video, and carries out the classification of the whole-course video. 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The small intestine lesion detection module is used for carrying out feature extraction on each video frame in the small intestine segment video to determine the lesion probability in each video frame, the target video frame extraction module is used for averagely dividing the small intestine segment video into a plurality of segments of video, and for each segment of video, the plurality of video frames with the highest lesion probability in the video are extracted into a plurality of video frames with the highest lesion probability in the video; and determining a diagnosis result of the Crohn's disease through</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING 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 |
| title | Capsule endoscopy video-based Crohn disease automatic diagnosis system |
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