MULTIMODAL GEOGRAPHIC ATROPHY LESION SEGMENTATION
A method and system for generating a geographic atrophy (GA) lesion segmentation mask corresponding to GA lesions in a retina is disclosed herein. In some embodiments, a set of fundus autofluorescence (FAF) images of a retina having one or more geographic atrophy (GA) lesions and one or both of a se...
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creator | JIANG, Jiaxiang GAO, Simon Shang PATIL, Jasmine ANEGONDI, Neha Sutheekshna KAWCZYNSKI, Michael Gregg SPAIDE, Theodore C |
description | A method and system for generating a geographic atrophy (GA) lesion segmentation mask corresponding to GA lesions in a retina is disclosed herein. In some embodiments, a set of fundus autofluorescence (FAF) images of a retina having one or more geographic atrophy (GA) lesions and one or both of a set of infrared (IR) images of the retina or a set of optical coherence tomography (OCT) images of the retina may be used to generate the GA lesion segmentation mask including one or more GA lesion segments corresponding to the one or more GA lesions in the retina. In some instances, a neural network may be used to generate the GA lesion segmentation mask. |
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In some embodiments, a set of fundus autofluorescence (FAF) images of a retina having one or more geographic atrophy (GA) lesions and one or both of a set of infrared (IR) images of the retina or a set of optical coherence tomography (OCT) images of the retina may be used to generate the GA lesion segmentation mask including one or more GA lesion segments corresponding to the one or more GA lesions in the retina. In some instances, a neural network may be used to generate the GA lesion segmentation mask.</description><language>eng ; fre ; ger</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; 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=20230830&DB=EPODOC&CC=EP&NR=4232999A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76516</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230830&DB=EPODOC&CC=EP&NR=4232999A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>JIANG, Jiaxiang</creatorcontrib><creatorcontrib>GAO, Simon Shang</creatorcontrib><creatorcontrib>PATIL, Jasmine</creatorcontrib><creatorcontrib>ANEGONDI, Neha Sutheekshna</creatorcontrib><creatorcontrib>KAWCZYNSKI, Michael Gregg</creatorcontrib><creatorcontrib>SPAIDE, Theodore C</creatorcontrib><title>MULTIMODAL GEOGRAPHIC ATROPHY LESION SEGMENTATION</title><description>A method and system for generating a geographic atrophy (GA) lesion segmentation mask corresponding to GA lesions in a retina is disclosed herein. In some embodiments, a set of fundus autofluorescence (FAF) images of a retina having one or more geographic atrophy (GA) lesions and one or both of a set of infrared (IR) images of the retina or a set of optical coherence tomography (OCT) images of the retina may be used to generate the GA lesion segmentation mask including one or more GA lesion segments corresponding to the one or more GA lesions in the retina. In some instances, a neural network may be used to generate the GA lesion segmentation mask.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDD0DfUJ8fT1d3H0UXB39XcPcgzw8HRWcAwJ8g_wiFTwcQ329PdTCHZ193X1C3EMAXJ4GFjTEnOKU3mhNDeDgptriLOHbmpBfnxqcUFicmpeakm8a4CJkbGRpaWlo6ExEUoAM04mnA</recordid><startdate>20230830</startdate><enddate>20230830</enddate><creator>JIANG, Jiaxiang</creator><creator>GAO, Simon Shang</creator><creator>PATIL, Jasmine</creator><creator>ANEGONDI, Neha Sutheekshna</creator><creator>KAWCZYNSKI, Michael Gregg</creator><creator>SPAIDE, Theodore C</creator><scope>EVB</scope></search><sort><creationdate>20230830</creationdate><title>MULTIMODAL GEOGRAPHIC ATROPHY LESION SEGMENTATION</title><author>JIANG, Jiaxiang ; GAO, Simon Shang ; PATIL, Jasmine ; ANEGONDI, Neha Sutheekshna ; KAWCZYNSKI, Michael Gregg ; SPAIDE, Theodore C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP4232999A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>JIANG, Jiaxiang</creatorcontrib><creatorcontrib>GAO, Simon Shang</creatorcontrib><creatorcontrib>PATIL, Jasmine</creatorcontrib><creatorcontrib>ANEGONDI, Neha Sutheekshna</creatorcontrib><creatorcontrib>KAWCZYNSKI, Michael Gregg</creatorcontrib><creatorcontrib>SPAIDE, Theodore C</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>JIANG, Jiaxiang</au><au>GAO, Simon Shang</au><au>PATIL, Jasmine</au><au>ANEGONDI, Neha Sutheekshna</au><au>KAWCZYNSKI, Michael Gregg</au><au>SPAIDE, Theodore C</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>MULTIMODAL GEOGRAPHIC ATROPHY LESION SEGMENTATION</title><date>2023-08-30</date><risdate>2023</risdate><abstract>A method and system for generating a geographic atrophy (GA) lesion segmentation mask corresponding to GA lesions in a retina is disclosed herein. In some embodiments, a set of fundus autofluorescence (FAF) images of a retina having one or more geographic atrophy (GA) lesions and one or both of a set of infrared (IR) images of the retina or a set of optical coherence tomography (OCT) images of the retina may be used to generate the GA lesion segmentation mask including one or more GA lesion segments corresponding to the one or more GA lesions in the retina. In some instances, a neural network may be used to generate the GA lesion segmentation mask.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
title | MULTIMODAL GEOGRAPHIC ATROPHY LESION SEGMENTATION |
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