IMAGE DIAGNOSTIC METHOD, IMAGE DIAGNOSIS SUPPORT DEVICE, AND COMPUTER SYSTEM
To provide an image diagnosis support method capable of presenting a diagnostic result including follow-up not only malignant and benign classification from images including tissues/cells.SOLUTION: The imaged diagnosis support device includes: a step of acquiring an image that includes at least one...
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| creator | KAKISHITA YASUKI HATTORI HIDEHARU UCHIDA NORITAKA AKIYAMA FUTOSHI SAKURAI TOMOYA |
| description | To provide an image diagnosis support method capable of presenting a diagnostic result including follow-up not only malignant and benign classification from images including tissues/cells.SOLUTION: The imaged diagnosis support device includes: a step of acquiring an image that includes at least one of tissues and cells as an element; a step of identifying the nature of the element included in a partial image for each part image that is a part of the image; a step of classifying the image as benign, which indicates the absence of lesion elements, malignant, which indicates the presence of lesion elements, and follow-up based on the result of identifying the multiple part images.SELECTED DRAWING: Figure 1
【課題】組織／細胞を含む画像から悪性及び良性の分類だけでなく、経過観察をも含む診断結果を提示する。【解決手段】画像診断支援装置は、組織及び細胞の少なくともいずれかを要素として含む画像を取得するステップと、画像の一部分である部分画像毎に、部分画像に含まれる要素の性質を識別するステップと、複数の部分画像の識別の結果に基づいて、画像を、病変要素が存在しないことを示す良性、病変要素が存在することを示す悪性、及び、経過観察のいずれかに分類するステップと、を含む。【選択図】図１ |
| format | Patent |
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【課題】組織／細胞を含む画像から悪性及び良性の分類だけでなく、経過観察をも含む診断結果を提示する。【解決手段】画像診断支援装置は、組織及び細胞の少なくともいずれかを要素として含む画像を取得するステップと、画像の一部分である部分画像毎に、部分画像に含まれる要素の性質を識別するステップと、複数の部分画像の識別の結果に基づいて、画像を、病変要素が存在しないことを示す良性、病変要素が存在することを示す悪性、及び、経過観察のいずれかに分類するステップと、を含む。【選択図】図１</description><language>eng ; jpn</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES ; MEASURING ; PHYSICS ; TESTING</subject><creationdate>2021</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=20211213&DB=EPODOC&CC=JP&NR=2021189960A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211213&DB=EPODOC&CC=JP&NR=2021189960A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>KAKISHITA YASUKI</creatorcontrib><creatorcontrib>HATTORI HIDEHARU</creatorcontrib><creatorcontrib>UCHIDA NORITAKA</creatorcontrib><creatorcontrib>AKIYAMA FUTOSHI</creatorcontrib><creatorcontrib>SAKURAI TOMOYA</creatorcontrib><title>IMAGE DIAGNOSTIC METHOD, IMAGE DIAGNOSIS SUPPORT DEVICE, AND COMPUTER SYSTEM</title><description>To provide an image diagnosis support method capable of presenting a diagnostic result including follow-up not only malignant and benign classification from images including tissues/cells.SOLUTION: The imaged diagnosis support device includes: a step of acquiring an image that includes at least one of tissues and cells as an element; a step of identifying the nature of the element included in a partial image for each part image that is a part of the image; a step of classifying the image as benign, which indicates the absence of lesion elements, malignant, which indicates the presence of lesion elements, and follow-up based on the result of identifying the multiple part images.SELECTED DRAWING: Figure 1
【課題】組織／細胞を含む画像から悪性及び良性の分類だけでなく、経過観察をも含む診断結果を提示する。【解決手段】画像診断支援装置は、組織及び細胞の少なくともいずれかを要素として含む画像を取得するステップと、画像の一部分である部分画像毎に、部分画像に含まれる要素の性質を識別するステップと、複数の部分画像の識別の結果に基づいて、画像を、病変要素が存在しないことを示す良性、病変要素が存在することを示す悪性、及び、経過観察のいずれかに分類するステップと、を含む。【選択図】図１</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES</subject><subject>MEASURING</subject><subject>PHYSICS</subject><subject>TESTING</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPDx9HV0d1Vw8XR09_MPDvF0VvB1DfHwd9FRQJHwDFYIDg0I8A8KUXBxDfN0dtVRcPRzUXD29w0IDXENUgiODA5x9eVhYE1LzClO5YXS3AxKbq4hzh66qQX58anFBYnJqXmpJfFeAUYGRoaGFpaWZgaOxkQpAgD7fC5M</recordid><startdate>20211213</startdate><enddate>20211213</enddate><creator>KAKISHITA YASUKI</creator><creator>HATTORI HIDEHARU</creator><creator>UCHIDA NORITAKA</creator><creator>AKIYAMA FUTOSHI</creator><creator>SAKURAI TOMOYA</creator><scope>EVB</scope></search><sort><creationdate>20211213</creationdate><title>IMAGE DIAGNOSTIC METHOD, IMAGE DIAGNOSIS SUPPORT DEVICE, AND COMPUTER SYSTEM</title><author>KAKISHITA YASUKI ; HATTORI HIDEHARU ; UCHIDA NORITAKA ; AKIYAMA FUTOSHI ; SAKURAI TOMOYA</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_JP2021189960A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; jpn</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES</topic><topic>MEASURING</topic><topic>PHYSICS</topic><topic>TESTING</topic><toplevel>online_resources</toplevel><creatorcontrib>KAKISHITA YASUKI</creatorcontrib><creatorcontrib>HATTORI HIDEHARU</creatorcontrib><creatorcontrib>UCHIDA NORITAKA</creatorcontrib><creatorcontrib>AKIYAMA FUTOSHI</creatorcontrib><creatorcontrib>SAKURAI TOMOYA</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>KAKISHITA YASUKI</au><au>HATTORI HIDEHARU</au><au>UCHIDA NORITAKA</au><au>AKIYAMA FUTOSHI</au><au>SAKURAI TOMOYA</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>IMAGE DIAGNOSTIC METHOD, IMAGE DIAGNOSIS SUPPORT DEVICE, AND COMPUTER SYSTEM</title><date>2021-12-13</date><risdate>2021</risdate><abstract>To provide an image diagnosis support method capable of presenting a diagnostic result including follow-up not only malignant and benign classification from images including tissues/cells.SOLUTION: The imaged diagnosis support device includes: a step of acquiring an image that includes at least one of tissues and cells as an element; a step of identifying the nature of the element included in a partial image for each part image that is a part of the image; a step of classifying the image as benign, which indicates the absence of lesion elements, malignant, which indicates the presence of lesion elements, and follow-up based on the result of identifying the multiple part images.SELECTED DRAWING: Figure 1
【課題】組織／細胞を含む画像から悪性及び良性の分類だけでなく、経過観察をも含む診断結果を提示する。【解決手段】画像診断支援装置は、組織及び細胞の少なくともいずれかを要素として含む画像を取得するステップと、画像の一部分である部分画像毎に、部分画像に含まれる要素の性質を識別するステップと、複数の部分画像の識別の結果に基づいて、画像を、病変要素が存在しないことを示す良性、病変要素が存在することを示す悪性、及び、経過観察のいずれかに分類するステップと、を含む。【選択図】図１</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES MEASURING PHYSICS TESTING |
| title | IMAGE DIAGNOSTIC METHOD, IMAGE DIAGNOSIS SUPPORT DEVICE, AND COMPUTER SYSTEM |
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