Sample size expansion method and device, equipment and storage medium
The embodiment of the invention discloses a sample size expansion method and device, equipment and a storage medium. The method comprises the following steps: acquiring a digital pathological image comprising a first image area marked with a positive sample label, a second image area marked with a n...
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 | LU FANG DING XIANGDONG CHE SHUANLONG SONG YANHUI JIANG GENGYUE LI JING ZHONG XUEJUN FENG XIAODONG ZHANG ZHIKUI |
description | The embodiment of the invention discloses a sample size expansion method and device, equipment and a storage medium. The method comprises the following steps: acquiring a digital pathological image comprising a first image area marked with a positive sample label, a second image area marked with a negative sample label and a third image area not marked with a label; performing image segmentation on the third image area to obtain a plurality of sub-images of the third image area; performing similarity clustering processing on image features by using the first image region, the second image region and each subimage, and determining a similarity degree pair of each subimage; and determining target sample labels corresponding to the sub-images according to the similarity degree pairs of the sub-images and a preset similarity coordinate system. According to the method, the sample size expansion from small data annotation to big data annotation of the digital pathological image is realized, and compared with manual |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN116824296A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN116824296A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN116824296A3</originalsourceid><addsrcrecordid>eNrjZHANTswtyElVKM6sSlVIrShIzCvOzM9TyE0tychPUUjMS1FISS3LTE7VUUgtLM0syE3NKwGLFpfkFyWmpwIVpmSW5vIwsKYl5hSn8kJpbgZFN9cQZw_d1IL8-NTigsTk1LzUknhnP0NDMwsjEyNLM0djYtQAAOSgMx0</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Sample size expansion method and device, equipment and storage medium</title><source>esp@cenet</source><creator>LU FANG ; DING XIANGDONG ; CHE SHUANLONG ; SONG YANHUI ; JIANG GENGYUE ; LI JING ; ZHONG XUEJUN ; FENG XIAODONG ; ZHANG ZHIKUI</creator><creatorcontrib>LU FANG ; DING XIANGDONG ; CHE SHUANLONG ; SONG YANHUI ; JIANG GENGYUE ; LI JING ; ZHONG XUEJUN ; FENG XIAODONG ; ZHANG ZHIKUI</creatorcontrib><description>The embodiment of the invention discloses a sample size expansion method and device, equipment and a storage medium. The method comprises the following steps: acquiring a digital pathological image comprising a first image area marked with a positive sample label, a second image area marked with a negative sample label and a third image area not marked with a label; performing image segmentation on the third image area to obtain a plurality of sub-images of the third image area; performing similarity clustering processing on image features by using the first image region, the second image region and each subimage, and determining a similarity degree pair of each subimage; and determining target sample labels corresponding to the sub-images according to the similarity degree pairs of the sub-images and a preset similarity coordinate system. According to the method, the sample size expansion from small data annotation to big data annotation of the digital pathological image is realized, and compared with manual</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; PHYSICS</subject><creationdate>2023</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=20230929&DB=EPODOC&CC=CN&NR=116824296A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76419</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230929&DB=EPODOC&CC=CN&NR=116824296A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LU FANG</creatorcontrib><creatorcontrib>DING XIANGDONG</creatorcontrib><creatorcontrib>CHE SHUANLONG</creatorcontrib><creatorcontrib>SONG YANHUI</creatorcontrib><creatorcontrib>JIANG GENGYUE</creatorcontrib><creatorcontrib>LI JING</creatorcontrib><creatorcontrib>ZHONG XUEJUN</creatorcontrib><creatorcontrib>FENG XIAODONG</creatorcontrib><creatorcontrib>ZHANG ZHIKUI</creatorcontrib><title>Sample size expansion method and device, equipment and storage medium</title><description>The embodiment of the invention discloses a sample size expansion method and device, equipment and a storage medium. The method comprises the following steps: acquiring a digital pathological image comprising a first image area marked with a positive sample label, a second image area marked with a negative sample label and a third image area not marked with a label; performing image segmentation on the third image area to obtain a plurality of sub-images of the third image area; performing similarity clustering processing on image features by using the first image region, the second image region and each subimage, and determining a similarity degree pair of each subimage; and determining target sample labels corresponding to the sub-images according to the similarity degree pairs of the sub-images and a preset similarity coordinate system. According to the method, the sample size expansion from small data annotation to big data annotation of the digital pathological image is realized, and compared with manual</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHANTswtyElVKM6sSlVIrShIzCvOzM9TyE0tychPUUjMS1FISS3LTE7VUUgtLM0syE3NKwGLFpfkFyWmpwIVpmSW5vIwsKYl5hSn8kJpbgZFN9cQZw_d1IL8-NTigsTk1LzUknhnP0NDMwsjEyNLM0djYtQAAOSgMx0</recordid><startdate>20230929</startdate><enddate>20230929</enddate><creator>LU FANG</creator><creator>DING XIANGDONG</creator><creator>CHE SHUANLONG</creator><creator>SONG YANHUI</creator><creator>JIANG GENGYUE</creator><creator>LI JING</creator><creator>ZHONG XUEJUN</creator><creator>FENG XIAODONG</creator><creator>ZHANG ZHIKUI</creator><scope>EVB</scope></search><sort><creationdate>20230929</creationdate><title>Sample size expansion method and device, equipment and storage medium</title><author>LU FANG ; DING XIANGDONG ; CHE SHUANLONG ; SONG YANHUI ; JIANG GENGYUE ; LI JING ; ZHONG XUEJUN ; FENG XIAODONG ; ZHANG ZHIKUI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116824296A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>LU FANG</creatorcontrib><creatorcontrib>DING XIANGDONG</creatorcontrib><creatorcontrib>CHE SHUANLONG</creatorcontrib><creatorcontrib>SONG YANHUI</creatorcontrib><creatorcontrib>JIANG GENGYUE</creatorcontrib><creatorcontrib>LI JING</creatorcontrib><creatorcontrib>ZHONG XUEJUN</creatorcontrib><creatorcontrib>FENG XIAODONG</creatorcontrib><creatorcontrib>ZHANG ZHIKUI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LU FANG</au><au>DING XIANGDONG</au><au>CHE SHUANLONG</au><au>SONG YANHUI</au><au>JIANG GENGYUE</au><au>LI JING</au><au>ZHONG XUEJUN</au><au>FENG XIAODONG</au><au>ZHANG ZHIKUI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Sample size expansion method and device, equipment and storage medium</title><date>2023-09-29</date><risdate>2023</risdate><abstract>The embodiment of the invention discloses a sample size expansion method and device, equipment and a storage medium. The method comprises the following steps: acquiring a digital pathological image comprising a first image area marked with a positive sample label, a second image area marked with a negative sample label and a third image area not marked with a label; performing image segmentation on the third image area to obtain a plurality of sub-images of the third image area; performing similarity clustering processing on image features by using the first image region, the second image region and each subimage, and determining a similarity degree pair of each subimage; and determining target sample labels corresponding to the sub-images according to the similarity degree pairs of the sub-images and a preset similarity coordinate system. According to the method, the sample size expansion from small data annotation to big data annotation of the digital pathological image is realized, and compared with manual</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN116824296A |
source | esp@cenet |
subjects | CALCULATING COMPUTING COUNTING PHYSICS |
title | Sample size expansion method and device, equipment and storage medium |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T21%3A12%3A11IST&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=LU%20FANG&rft.date=2023-09-29&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN116824296A%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 |