Microsatellite instability detection method and device based on multi-resolution and multi-region
The invention discloses a microsatellite instability detection method and device based on multi-resolution and multi-region. The method comprises the steps that S1, a multi-resolution WSI image is acquired; s2, pixel classification is carried out on the low-resolution images obtained in the S1 accor...
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creator | MOON HO-AH XU QINGHUA SONG KAIBIN SUN YIFENG |
description | The invention discloses a microsatellite instability detection method and device based on multi-resolution and multi-region. The method comprises the steps that S1, a multi-resolution WSI image is acquired; s2, pixel classification is carried out on the low-resolution images obtained in the S1 according to different colors, pixels with the same or similar colors are classified into one class, and each class forms an image with dyeing information; s3, selecting the image with the most dyeing information, and dividing the image into a plurality of small areas; s4, selecting the small area containing the largest number of pixels from all the small areas; s5, acquiring an area corresponding to the small area selected in the S4 from the high-resolution image, and dividing the area into a plurality of small image blocks; s6, performing feature map extraction on all the small image blocks by using a pre-trained feature extraction model; and S7, classifying the feature maps in sequence by using the classification mod |
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The method comprises the steps that S1, a multi-resolution WSI image is acquired; s2, pixel classification is carried out on the low-resolution images obtained in the S1 according to different colors, pixels with the same or similar colors are classified into one class, and each class forms an image with dyeing information; s3, selecting the image with the most dyeing information, and dividing the image into a plurality of small areas; s4, selecting the small area containing the largest number of pixels from all the small areas; s5, acquiring an area corresponding to the small area selected in the S4 from the high-resolution image, and dividing the area into a plurality of small image blocks; s6, performing feature map extraction on all the small image blocks by using a pre-trained feature extraction model; and S7, classifying the feature maps in sequence by using the classification mod</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>eNqNijEKwkAQRdNYiHqH8QABQ1TSSlBstLIPk92vDqy7ITsRvL0b0d7qf95704xPYvoQWeGcKEh8VG4l_RdZKIxK8PSA3oMl9jbBpxhQyxGWRjU4lbxHDG74tGP0g7cE5tnkyi5i8d1ZtjzsL_UxRxcaxI4NPLSpz0WxqcrVelvtyn-aN4HXPnc</recordid><startdate>20230321</startdate><enddate>20230321</enddate><creator>MOON HO-AH</creator><creator>XU QINGHUA</creator><creator>SONG KAIBIN</creator><creator>SUN YIFENG</creator><scope>EVB</scope></search><sort><creationdate>20230321</creationdate><title>Microsatellite instability detection method and device based on multi-resolution and multi-region</title><author>MOON HO-AH ; XU QINGHUA ; SONG KAIBIN ; SUN YIFENG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115830468A3</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>MOON HO-AH</creatorcontrib><creatorcontrib>XU QINGHUA</creatorcontrib><creatorcontrib>SONG KAIBIN</creatorcontrib><creatorcontrib>SUN YIFENG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>MOON HO-AH</au><au>XU QINGHUA</au><au>SONG KAIBIN</au><au>SUN YIFENG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Microsatellite instability detection method and device based on multi-resolution and multi-region</title><date>2023-03-21</date><risdate>2023</risdate><abstract>The invention discloses a microsatellite instability detection method and device based on multi-resolution and multi-region. The method comprises the steps that S1, a multi-resolution WSI image is acquired; s2, pixel classification is carried out on the low-resolution images obtained in the S1 according to different colors, pixels with the same or similar colors are classified into one class, and each class forms an image with dyeing information; s3, selecting the image with the most dyeing information, and dividing the image into a plurality of small areas; s4, selecting the small area containing the largest number of pixels from all the small areas; s5, acquiring an area corresponding to the small area selected in the S4 from the high-resolution image, and dividing the area into a plurality of small image blocks; s6, performing feature map extraction on all the small image blocks by using a pre-trained feature extraction model; and S7, classifying the feature maps in sequence by using the classification mod</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING PHYSICS |
title | Microsatellite instability detection method and device based on multi-resolution and multi-region |
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