Recognition method and recognition system for recognizing polyp image
The embodiment of the invention discloses a recognition method and a recognition system for recognizing a polyp image. The recognition method comprises the following steps: acquiring a polyp-containing image, extracting a feature map, and screening the feature map as input of a global clue positioni...
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creator | JIAN LIQIONG |
description | The embodiment of the invention discloses a recognition method and a recognition system for recognizing a polyp image. The recognition method comprises the following steps: acquiring a polyp-containing image, extracting a feature map, and screening the feature map as input of a global clue positioning module to obtain a feature map with positioning clues; down-sampling is carried out on an input feature map to obtain an intermediate feature map, importance scores between different channels are obtained through global average pooling, then the importance scores are multiplied by the input feature map and the intermediate feature map, feature maps of the same size are obtained through up-sampling, the feature maps are spliced in the channel direction and then added to the input feature map, and bilinear interpolation up-sampling is carried out to obtain the feature maps of the same size. Obtaining a positioning clue feature map; and adding the positioning clue feature map and the feature maps of each size, fusi |
format | Patent |
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The recognition method comprises the following steps: acquiring a polyp-containing image, extracting a feature map, and screening the feature map as input of a global clue positioning module to obtain a feature map with positioning clues; down-sampling is carried out on an input feature map to obtain an intermediate feature map, importance scores between different channels are obtained through global average pooling, then the importance scores are multiplied by the input feature map and the intermediate feature map, feature maps of the same size are obtained through up-sampling, the feature maps are spliced in the channel direction and then added to the input feature map, and bilinear interpolation up-sampling is carried out to obtain the feature maps of the same size. Obtaining a positioning clue feature map; and adding the positioning clue feature map and the feature maps of each size, fusi</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; 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=20240213&DB=EPODOC&CC=CN&NR=117557799A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240213&DB=EPODOC&CC=CN&NR=117557799A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>JIAN LIQIONG</creatorcontrib><title>Recognition method and recognition system for recognizing polyp image</title><description>The embodiment of the invention discloses a recognition method and a recognition system for recognizing a polyp image. The recognition method comprises the following steps: acquiring a polyp-containing image, extracting a feature map, and screening the feature map as input of a global clue positioning module to obtain a feature map with positioning clues; down-sampling is carried out on an input feature map to obtain an intermediate feature map, importance scores between different channels are obtained through global average pooling, then the importance scores are multiplied by the input feature map and the intermediate feature map, feature maps of the same size are obtained through up-sampling, the feature maps are spliced in the channel direction and then added to the input feature map, and bilinear interpolation up-sampling is carried out to obtain the feature maps of the same size. Obtaining a positioning clue feature map; and adding the positioning clue feature map and the feature maps of each size, fusi</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHANSk3OT8_LLMnMz1PITS3JyE9RSMxLUShCEi6uLC5JzVVIyy-CCVdl5qUrFOTnVBYoZOYmpqfyMLCmJeYUp_JCaW4GRTfXEGcP3dSC_PjU4oLE5NS81JJ4Zz9DQ3NTU3NzS0tHY2LUAAA-0jPq</recordid><startdate>20240213</startdate><enddate>20240213</enddate><creator>JIAN LIQIONG</creator><scope>EVB</scope></search><sort><creationdate>20240213</creationdate><title>Recognition method and recognition system for recognizing polyp image</title><author>JIAN LIQIONG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117557799A3</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>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>JIAN LIQIONG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>JIAN LIQIONG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Recognition method and recognition system for recognizing polyp image</title><date>2024-02-13</date><risdate>2024</risdate><abstract>The embodiment of the invention discloses a recognition method and a recognition system for recognizing a polyp image. The recognition method comprises the following steps: acquiring a polyp-containing image, extracting a feature map, and screening the feature map as input of a global clue positioning module to obtain a feature map with positioning clues; down-sampling is carried out on an input feature map to obtain an intermediate feature map, importance scores between different channels are obtained through global average pooling, then the importance scores are multiplied by the input feature map and the intermediate feature map, feature maps of the same size are obtained through up-sampling, the feature maps are spliced in the channel direction and then added to the input feature map, and bilinear interpolation up-sampling is carried out to obtain the feature maps of the same size. Obtaining a positioning clue feature map; and adding the positioning clue feature map and the feature maps of each size, fusi</abstract><oa>free_for_read</oa></addata></record> |
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language | chi ; eng |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS |
title | Recognition method and recognition system for recognizing polyp image |
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