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Opportunities and challenges to utilization of quantitative imaging: Report of the AAPM practical big data workshop
Background This article is a summary of the quantitative imaging subgroup of the 2017 AAPM Practical Big Data Workshop (PBDW‐2017) on progress and challenges in big data applied to cancer treatment and research supplemented by a draft white paper following an American Association of Physicists in Me...
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| Published in: | Medical physics (Lancaster) 2018-10, Vol.45 (10), p.e820-e828 |
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| Main Authors: | , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c4105-a5d5770343e4fb71fd08613f236e32465d98bf9862d97a84d74dfc7ed5feacbc3 |
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| cites | cdi_FETCH-LOGICAL-c4105-a5d5770343e4fb71fd08613f236e32465d98bf9862d97a84d74dfc7ed5feacbc3 |
| container_end_page | e828 |
| container_issue | 10 |
| container_start_page | e820 |
| container_title | Medical physics (Lancaster) |
| container_volume | 45 |
| creator | Mackie, Thomas R. Jackson, Edward F. Giger, Maryellen |
| description | Background
This article is a summary of the quantitative imaging subgroup of the 2017 AAPM Practical Big Data Workshop (PBDW‐2017) on progress and challenges in big data applied to cancer treatment and research supplemented by a draft white paper following an American Association of Physicists in Medicine FOREM meeting on Imaging Genomics in 2014.
Aims
The goal of PBDW‐2017 was to close the gap between theoretical vision and practical experience with encountering and solving challenges in curating and analyzing data.
Conclusions
Recommendations based on the meetings are summarized. |
| doi_str_mv | 10.1002/mp.13135 |
| format | article |
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This article is a summary of the quantitative imaging subgroup of the 2017 AAPM Practical Big Data Workshop (PBDW‐2017) on progress and challenges in big data applied to cancer treatment and research supplemented by a draft white paper following an American Association of Physicists in Medicine FOREM meeting on Imaging Genomics in 2014.
Aims
The goal of PBDW‐2017 was to close the gap between theoretical vision and practical experience with encountering and solving challenges in curating and analyzing data.
Conclusions
Recommendations based on the meetings are summarized.</description><identifier>ISSN: 0094-2405</identifier><identifier>EISSN: 2473-4209</identifier><identifier>DOI: 10.1002/mp.13135</identifier><identifier>PMID: 30248184</identifier><language>eng</language><publisher>United States: John Wiley and Sons Inc</publisher><subject>big data ; Databases, Factual ; deep learning ; Diagnostic Imaging - statistics & numerical data ; Humans ; imaging biomarkers ; Medical Informatics ; Neoplasms - diagnostic imaging ; Physics ; Practical Big Data Workshop ; quantitative imaging ; radiomics ; Research Report ; Societies, Medical - statistics & numerical data ; Special Issue Paper ; Workflow</subject><ispartof>Medical physics (Lancaster), 2018-10, Vol.45 (10), p.e820-e828</ispartof><rights>2018 American Association of Physicists in Medicine</rights><rights>2018 American Association of Physicists in Medicine.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4105-a5d5770343e4fb71fd08613f236e32465d98bf9862d97a84d74dfc7ed5feacbc3</citedby><cites>FETCH-LOGICAL-c4105-a5d5770343e4fb71fd08613f236e32465d98bf9862d97a84d74dfc7ed5feacbc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30248184$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mackie, Thomas R.</creatorcontrib><creatorcontrib>Jackson, Edward F.</creatorcontrib><creatorcontrib>Giger, Maryellen</creatorcontrib><title>Opportunities and challenges to utilization of quantitative imaging: Report of the AAPM practical big data workshop</title><title>Medical physics (Lancaster)</title><addtitle>Med Phys</addtitle><description>Background
This article is a summary of the quantitative imaging subgroup of the 2017 AAPM Practical Big Data Workshop (PBDW‐2017) on progress and challenges in big data applied to cancer treatment and research supplemented by a draft white paper following an American Association of Physicists in Medicine FOREM meeting on Imaging Genomics in 2014.
Aims
The goal of PBDW‐2017 was to close the gap between theoretical vision and practical experience with encountering and solving challenges in curating and analyzing data.
Conclusions
Recommendations based on the meetings are summarized.</description><subject>big data</subject><subject>Databases, Factual</subject><subject>deep learning</subject><subject>Diagnostic Imaging - statistics & numerical data</subject><subject>Humans</subject><subject>imaging biomarkers</subject><subject>Medical Informatics</subject><subject>Neoplasms - diagnostic imaging</subject><subject>Physics</subject><subject>Practical Big Data Workshop</subject><subject>quantitative imaging</subject><subject>radiomics</subject><subject>Research Report</subject><subject>Societies, Medical - statistics & numerical data</subject><subject>Special Issue Paper</subject><subject>Workflow</subject><issn>0094-2405</issn><issn>2473-4209</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kU1rFTEUhoMo9loFf4Fk6WZqPmcmLoRLqR_Q0iK6Dpl8zI1mkmmSaam_3rneWnXh6vByHp5z4AXgJUYnGCHyZppPMMWUPwIbwjraMILEY7BBSLCGMMSPwLNSviGEWsrRU3BEEWE97tkGlMt5Trku0VdvC1TRQL1TIdg4rrEmuFQf_A9VfYowOXi9qFh9XfONhX5So4_jW_jZ7iX7fd1ZuN1eXcA5K129VgEOfoRGVQVvU_5edml-Dp44FYp9cT-Pwdf3Z19OPzbnlx8-nW7PG80w4o3ihncdooxa5oYOO4P6FlNHaGspYS03oh-c6FtiRKd6ZjpmnO6s4c4qPWh6DN4dvPMyTNZoG2tWQc55_TvfyaS8_HcT_U6O6UYKzoXoxSp4fS_I6XqxpcrJF21DUNGmpUiCMcG9wAT9QXVOpWTrHs5gJPcdyWmWvzpa0Vd_v_UA_i5lBZoDcOuDvfuvSF5cHYQ_AYOvnT4</recordid><startdate>201810</startdate><enddate>201810</enddate><creator>Mackie, Thomas R.</creator><creator>Jackson, Edward F.</creator><creator>Giger, Maryellen</creator><general>John Wiley and Sons Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201810</creationdate><title>Opportunities and challenges to utilization of quantitative imaging: Report of the AAPM practical big data workshop</title><author>Mackie, Thomas R. ; Jackson, Edward F. ; Giger, Maryellen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4105-a5d5770343e4fb71fd08613f236e32465d98bf9862d97a84d74dfc7ed5feacbc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>big data</topic><topic>Databases, Factual</topic><topic>deep learning</topic><topic>Diagnostic Imaging - statistics & numerical data</topic><topic>Humans</topic><topic>imaging biomarkers</topic><topic>Medical Informatics</topic><topic>Neoplasms - diagnostic imaging</topic><topic>Physics</topic><topic>Practical Big Data Workshop</topic><topic>quantitative imaging</topic><topic>radiomics</topic><topic>Research Report</topic><topic>Societies, Medical - statistics & numerical data</topic><topic>Special Issue Paper</topic><topic>Workflow</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mackie, Thomas R.</creatorcontrib><creatorcontrib>Jackson, Edward F.</creatorcontrib><creatorcontrib>Giger, Maryellen</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Medical physics (Lancaster)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mackie, Thomas R.</au><au>Jackson, Edward F.</au><au>Giger, Maryellen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Opportunities and challenges to utilization of quantitative imaging: Report of the AAPM practical big data workshop</atitle><jtitle>Medical physics (Lancaster)</jtitle><addtitle>Med Phys</addtitle><date>2018-10</date><risdate>2018</risdate><volume>45</volume><issue>10</issue><spage>e820</spage><epage>e828</epage><pages>e820-e828</pages><issn>0094-2405</issn><eissn>2473-4209</eissn><abstract>Background
This article is a summary of the quantitative imaging subgroup of the 2017 AAPM Practical Big Data Workshop (PBDW‐2017) on progress and challenges in big data applied to cancer treatment and research supplemented by a draft white paper following an American Association of Physicists in Medicine FOREM meeting on Imaging Genomics in 2014.
Aims
The goal of PBDW‐2017 was to close the gap between theoretical vision and practical experience with encountering and solving challenges in curating and analyzing data.
Conclusions
Recommendations based on the meetings are summarized.</abstract><cop>United States</cop><pub>John Wiley and Sons Inc</pub><pmid>30248184</pmid><doi>10.1002/mp.13135</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Medical physics (Lancaster), 2018-10, Vol.45 (10), p.e820-e828 |
| issn | 0094-2405 2473-4209 |
| language | eng |
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| source | Wiley-Blackwell Read & Publish Collection |
| subjects | big data Databases, Factual deep learning Diagnostic Imaging - statistics & numerical data Humans imaging biomarkers Medical Informatics Neoplasms - diagnostic imaging Physics Practical Big Data Workshop quantitative imaging radiomics Research Report Societies, Medical - statistics & numerical data Special Issue Paper Workflow |
| title | Opportunities and challenges to utilization of quantitative imaging: Report of the AAPM practical big data workshop |
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