SYSTEMS AND METHODS FOR CONSISTENT PRESENTATION OF MEDICAL IMAGES USING DEEP NEURAL NETWORKS
The current disclosure provides systems and methods for intelligent selection of display settings, including window-width (WW) and window-center (WC), for medical images, using deep neural networks. The current disclosure may enable automatic selection of display settings for a medical image, based...
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| creator | Akram, Najib Wanek, Justin Rao, Gireesha Chinthamani Xue, Ping Vera-Gonzalez, German Guillermo Zhang, Fengchao |
| description | The current disclosure provides systems and methods for intelligent selection of display settings, including window-width (WW) and window-center (WC), for medical images, using deep neural networks. The current disclosure may enable automatic selection of display settings for a medical image, based on a deep neural network's appearance classification of the medical image. In one embodiment, the current disclosure provides a method comprising, receiving a medical image, mapping the medical image to an appearance classification cell of an appearance classification matrix using a trained deep neural network, selecting a first WW and a first WC for the medical image based on the appearance classification and a target appearance classification, adjusting the first WW and the first WC based on user preferences to produce a second WW and a second WC, and displaying the medical image with the second WW and the second WC via a display device. |
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The current disclosure may enable automatic selection of display settings for a medical image, based on a deep neural network's appearance classification of the medical image. In one embodiment, the current disclosure provides a method comprising, receiving a medical image, mapping the medical image to an appearance classification cell of an appearance classification matrix using a trained deep neural network, selecting a first WW and a first WC for the medical image based on the appearance classification and a target appearance classification, adjusting the first WW and the first WC based on user preferences to produce a second WW and a second WC, and displaying the medical image with the second WW and the second WC via a display device.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; PHYSICS</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=20210812&DB=EPODOC&CC=US&NR=2021248716A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25569,76552</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20210812&DB=EPODOC&CC=US&NR=2021248716A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Akram, Najib</creatorcontrib><creatorcontrib>Wanek, Justin</creatorcontrib><creatorcontrib>Rao, Gireesha Chinthamani</creatorcontrib><creatorcontrib>Xue, Ping</creatorcontrib><creatorcontrib>Vera-Gonzalez, German Guillermo</creatorcontrib><creatorcontrib>Zhang, Fengchao</creatorcontrib><title>SYSTEMS AND METHODS FOR CONSISTENT PRESENTATION OF MEDICAL IMAGES USING DEEP NEURAL NETWORKS</title><description>The current disclosure provides systems and methods for intelligent selection of display settings, including window-width (WW) and window-center (WC), for medical images, using deep neural networks. The current disclosure may enable automatic selection of display settings for a medical image, based on a deep neural network's appearance classification of the medical image. In one embodiment, the current disclosure provides a method comprising, receiving a medical image, mapping the medical image to an appearance classification cell of an appearance classification matrix using a trained deep neural network, selecting a first WW and a first WC for the medical image based on the appearance classification and a target appearance classification, adjusting the first WW and the first WC based on user preferences to produce a second WW and a second WC, and displaying the medical image with the second WW and the second WC via a display device.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyrEKwjAQgOEuDqK-w4GzYKtY19Bc26C5lNwFEYRSJE6ihfr-mMEHcPqH759nN76yoGVQpMGitE4z1M5D5YhNIhLoPHKqEuMIXJ02bSp1BmNVgwyBDTWgETsgDD4BoVycP_Eymz2G5xRXvy6ydY1StZs4vvs4jcM9vuKnD1xsi7zYH8v8oPLdf9cXpv8zhw</recordid><startdate>20210812</startdate><enddate>20210812</enddate><creator>Akram, Najib</creator><creator>Wanek, Justin</creator><creator>Rao, Gireesha Chinthamani</creator><creator>Xue, Ping</creator><creator>Vera-Gonzalez, German Guillermo</creator><creator>Zhang, Fengchao</creator><scope>EVB</scope></search><sort><creationdate>20210812</creationdate><title>SYSTEMS AND METHODS FOR CONSISTENT PRESENTATION OF MEDICAL IMAGES USING DEEP NEURAL NETWORKS</title><author>Akram, Najib ; Wanek, Justin ; Rao, Gireesha Chinthamani ; Xue, Ping ; Vera-Gonzalez, German Guillermo ; Zhang, Fengchao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2021248716A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2021</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>Akram, Najib</creatorcontrib><creatorcontrib>Wanek, Justin</creatorcontrib><creatorcontrib>Rao, Gireesha Chinthamani</creatorcontrib><creatorcontrib>Xue, Ping</creatorcontrib><creatorcontrib>Vera-Gonzalez, German Guillermo</creatorcontrib><creatorcontrib>Zhang, Fengchao</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Akram, Najib</au><au>Wanek, Justin</au><au>Rao, Gireesha Chinthamani</au><au>Xue, Ping</au><au>Vera-Gonzalez, German Guillermo</au><au>Zhang, Fengchao</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>SYSTEMS AND METHODS FOR CONSISTENT PRESENTATION OF MEDICAL IMAGES USING DEEP NEURAL NETWORKS</title><date>2021-08-12</date><risdate>2021</risdate><abstract>The current disclosure provides systems and methods for intelligent selection of display settings, including window-width (WW) and window-center (WC), for medical images, using deep neural networks. The current disclosure may enable automatic selection of display settings for a medical image, based on a deep neural network's appearance classification of the medical image. In one embodiment, the current disclosure provides a method comprising, receiving a medical image, mapping the medical image to an appearance classification cell of an appearance classification matrix using a trained deep neural network, selecting a first WW and a first WC for the medical image based on the appearance classification and a target appearance classification, adjusting the first WW and the first WC based on user preferences to produce a second WW and a second WC, and displaying the medical image with the second WW and the second WC via a display device.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA IMAGE DATA PROCESSING OR GENERATION, IN GENERAL INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS |
| title | SYSTEMS AND METHODS FOR CONSISTENT PRESENTATION OF MEDICAL IMAGES USING DEEP NEURAL NETWORKS |
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