NETWORK ARCHITECTURE FOR 3D IMAGE PROCESSING
A mechanism for processing input 3D image data. In a first stage, input 3D image data is processed using one or more neural networks, respectively, to produce one or more modified 3D image data. In a second stage, the input 3D image data and the modified 3D image data are processed using a neural ne...
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creator | GRINGAUZ ASHER GOSHEN LIRAN |
description | A mechanism for processing input 3D image data. In a first stage, input 3D image data is processed using one or more neural networks, respectively, to produce one or more modified 3D image data. In a second stage, the input 3D image data and the modified 3D image data are processed using a neural network to produce an output. A neural network that produces modified 3D image data is configured to process slices or sub-volumes of input 3D image data to produce modified 3D image data.
一种用于处理输入3D图像数据的机制。在第一阶段,使用一个或多个神经网络分别处理输入3D图像数据,以产生一个或多个经修改的3D图像数据。在第二阶段,使用神经网络处理输入3D图像数据和经修改的3D图像数据以产生输出。产生经修改的3D图像数据的神经网络被配置为处理输入3D图像数据的切片或子体积以产生经修改的3D图像数据。 |
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一种用于处理输入3D图像数据的机制。在第一阶段,使用一个或多个神经网络分别处理输入3D图像数据,以产生一个或多个经修改的3D图像数据。在第二阶段,使用神经网络处理输入3D图像数据和经修改的3D图像数据以产生输出。产生经修改的3D图像数据的神经网络被配置为处理输入3D图像数据的切片或子体积以产生经修改的3D图像数据。</description><language>chi ; eng</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=20240802&DB=EPODOC&CC=CN&NR=118435234A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240802&DB=EPODOC&CC=CN&NR=118435234A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>GRINGAUZ ASHER</creatorcontrib><creatorcontrib>GOSHEN LIRAN</creatorcontrib><title>NETWORK ARCHITECTURE FOR 3D IMAGE PROCESSING</title><description>A mechanism for processing input 3D image data. In a first stage, input 3D image data is processed using one or more neural networks, respectively, to produce one or more modified 3D image data. In a second stage, the input 3D image data and the modified 3D image data are processed using a neural network to produce an output. A neural network that produces modified 3D image data is configured to process slices or sub-volumes of input 3D image data to produce modified 3D image data.
一种用于处理输入3D图像数据的机制。在第一阶段,使用一个或多个神经网络分别处理输入3D图像数据,以产生一个或多个经修改的3D图像数据。在第二阶段,使用神经网络处理输入3D图像数据和经修改的3D图像数据以产生输出。产生经修改的3D图像数据的神经网络被配置为处理输入3D图像数据的切片或子体积以产生经修改的3D图像数据。</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-dhYE1LzClO5YXS3AyKbq4hzh66qQX58anFBYnJqXmpJfHOfoaGFibGpkbGJo7GxKgBAJSbJRw</recordid><startdate>20240802</startdate><enddate>20240802</enddate><creator>GRINGAUZ ASHER</creator><creator>GOSHEN LIRAN</creator><scope>EVB</scope></search><sort><creationdate>20240802</creationdate><title>NETWORK ARCHITECTURE FOR 3D IMAGE PROCESSING</title><author>GRINGAUZ ASHER ; GOSHEN LIRAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN118435234A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</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>GRINGAUZ ASHER</creatorcontrib><creatorcontrib>GOSHEN LIRAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>GRINGAUZ ASHER</au><au>GOSHEN LIRAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>NETWORK ARCHITECTURE FOR 3D IMAGE PROCESSING</title><date>2024-08-02</date><risdate>2024</risdate><abstract>A mechanism for processing input 3D image data. In a first stage, input 3D image data is processed using one or more neural networks, respectively, to produce one or more modified 3D image data. In a second stage, the input 3D image data and the modified 3D image data are processed using a neural network to produce an output. A neural network that produces modified 3D image data is configured to process slices or sub-volumes of input 3D image data to produce modified 3D image data.
一种用于处理输入3D图像数据的机制。在第一阶段,使用一个或多个神经网络分别处理输入3D图像数据,以产生一个或多个经修改的3D图像数据。在第二阶段,使用神经网络处理输入3D图像数据和经修改的3D图像数据以产生输出。产生经修改的3D图像数据的神经网络被配置为处理输入3D图像数据的切片或子体积以产生经修改的3D图像数据。</abstract><oa>free_for_read</oa></addata></record> |
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language | chi ; eng |
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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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