NETWORK ARCHITECTURE FOR 3D IMAGE PROCESSING
A mechanism for processing input 3D image data. In a first phase, the input 3D image data is separately processed using one or more neural networks to produce one or more modified 3D image data. In a second phase, the input 3D image data and the modified 3D image data are processed using another neu...
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creator | GOSHEN, Liran GRINGAUZ, Asher |
description | A mechanism for processing input 3D image data. In a first phase, the input 3D image data is separately processed using one or more neural networks to produce one or more modified 3D image data. In a second phase, the input 3D image data and the modified 3D image data are processed using another neural network to produce an output. The one or more neural networks that produce the modified 3D image data are configured to process slices or sub-volumes of the input 3D image data to produce modified 3D image data. |
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In a second phase, the input 3D image data and the modified 3D image data are processed using another neural network to produce an output. The one or more neural networks that produce the modified 3D image data are configured to process slices or sub-volumes of the input 3D image data to produce modified 3D image data.</description><language>eng ; fre ; ger</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; 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=20241113&DB=EPODOC&CC=EP&NR=4413528B1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76318</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20241113&DB=EPODOC&CC=EP&NR=4413528B1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>GOSHEN, Liran</creatorcontrib><creatorcontrib>GRINGAUZ, Asher</creatorcontrib><title>NETWORK ARCHITECTURE FOR 3D IMAGE PROCESSING</title><description>A mechanism for processing input 3D image data. In a first phase, the input 3D image data is separately processed using one or more neural networks to produce one or more modified 3D image data. In a second phase, the input 3D image data and the modified 3D image data are processed using another neural network to produce an output. The one or more neural networks that produce the modified 3D image data are configured to process slices or sub-volumes of the input 3D image data to produce modified 3D image data.</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>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZNDxcw0J9w_yVnAMcvbwDHF1DgkNclVw8w9SMHZR8PR1dHdVCAjyd3YNDvb0c-dhYE1LzClO5YXS3AwKbq4hzh66qQX58anFBYnJqXmpJfGuASYmhsamRhZOhsZEKAEATrEkvg</recordid><startdate>20241113</startdate><enddate>20241113</enddate><creator>GOSHEN, Liran</creator><creator>GRINGAUZ, Asher</creator><scope>EVB</scope></search><sort><creationdate>20241113</creationdate><title>NETWORK ARCHITECTURE FOR 3D IMAGE PROCESSING</title><author>GOSHEN, Liran ; GRINGAUZ, Asher</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_EP4413528B13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre ; ger</language><creationdate>2024</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>GOSHEN, Liran</creatorcontrib><creatorcontrib>GRINGAUZ, Asher</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>GOSHEN, Liran</au><au>GRINGAUZ, Asher</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>NETWORK ARCHITECTURE FOR 3D IMAGE PROCESSING</title><date>2024-11-13</date><risdate>2024</risdate><abstract>A mechanism for processing input 3D image data. In a first phase, the input 3D image data is separately processed using one or more neural networks to produce one or more modified 3D image data. In a second phase, the input 3D image data and the modified 3D image data are processed using another neural network to produce an output. The one or more neural networks that produce the modified 3D image data are configured to process slices or sub-volumes of the input 3D image data to produce modified 3D image data.</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 | NETWORK ARCHITECTURE FOR 3D IMAGE PROCESSING |
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