Distributed plan construction and execution for medical image interpretation

Distributed plan construction and execution for medical image interpretation

Research in the field of medical image interpretation inspired a multi-agent planning model in which a population of agents reaches global goals pursuing local plans and producing partial results. Cooperation is achieved by collecting results, reanalysing the reached state and starting new plans; lo...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Bianchi, N., Bottoni, P., Garbay, C., Mussio, P., Spinu, C.
Format: Buchkapitel
Sprache:eng
Schlagworte:
Global Goal
Interpretation Process
Local Plan
Result Graph
White Zone
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 416
container_issue
container_start_page 403
container_title
container_volume
creator Bianchi, N.
Bottoni, P.
Garbay, C.
Mussio, P.
Spinu, C.
description Research in the field of medical image interpretation inspired a multi-agent planning model in which a population of agents reaches global goals pursuing local plans and producing partial results. Cooperation is achieved by collecting results, reanalysing the reached state and starting new plans; local plans are generated and executed in a distributed way. The state is composed of a directed graph, describing the currently obtained results and of an attributed string, concatenating the trace of the performed operations with the current plan. A model of agent and agent generation is presented and an example of application given in the field of liver biopsy interpretation.
doi_str_mv 10.1007/BFb0029474
format Book Chapter
fullrecord <record><control><sourceid>springer</sourceid><recordid>TN_cdi_springer_books_10_1007_BFb0029474</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>springer_books_10_1007_BFb0029474</sourcerecordid><originalsourceid>FETCH-LOGICAL-s188t-bd1aa03ed258a4214440b4ab7a5760a0fea14ba278572a1aed7d4569188e24d63</originalsourceid><addsrcrecordid>eNpFUMtOwzAQNC-JUnrhC3zkEljbm9g5QqGAFIkLSNyidbytDG1SxanE55MWJOaymtnZ0WqEuFJwowDs7f3CA-gSLR6JWWmdyREKh-jgWExUoVRmDJYn4uKw0BbKj1MxAQM6Ky2aczFL6RNGGK1QuYmoHmIa-uh3Awe5XVMrm64dlV0zxK6V1AbJ39zsDmzZ9XLDITa0lnFDK5axHbjf9jzQ3nApzpa0Tjz7m1Pxvnh8mz9n1evTy_yuypJybsh8UERgOOjcEY6PIIJH8pZyWwDBkkmhJ21dbjUp4mAD5kU5HrPGUJipuP7NTds-tivua991X6lWUO9bqv9bMj_BIVXQ</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>book_chapter</recordtype></control><display><type>book_chapter</type><title>Distributed plan construction and execution for medical image interpretation</title><source>Springer Books</source><creator>Bianchi, N. ; Bottoni, P. ; Garbay, C. ; Mussio, P. ; Spinu, C.</creator><contributor>Keravnou, Elpida ; Garbay, Catherine ; Baud, Robert ; Wyatt, Jeremy</contributor><creatorcontrib>Bianchi, N. ; Bottoni, P. ; Garbay, C. ; Mussio, P. ; Spinu, C. ; Keravnou, Elpida ; Garbay, Catherine ; Baud, Robert ; Wyatt, Jeremy</creatorcontrib><description>Research in the field of medical image interpretation inspired a multi-agent planning model in which a population of agents reaches global goals pursuing local plans and producing partial results. Cooperation is achieved by collecting results, reanalysing the reached state and starting new plans; local plans are generated and executed in a distributed way. The state is composed of a directed graph, describing the currently obtained results and of an attributed string, concatenating the trace of the performed operations with the current plan. A model of agent and agent generation is presented and an example of application given in the field of liver biopsy interpretation.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 354062709X</identifier><identifier>ISBN: 9783540627098</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 9783540684480</identifier><identifier>EISBN: 3540684484</identifier><identifier>DOI: 10.1007/BFb0029474</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Global Goal ; Interpretation Process ; Local Plan ; Result Graph ; White Zone</subject><ispartof>Artificial Intelligence in Medicine, 1997, p.403-416</ispartof><rights>Springer-Verlag Berlin Heidelberg 1997</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><relation>Lecture Notes in Computer Science</relation></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/BFb0029474$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/BFb0029474$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>776,777,781,790,27906,38236,41423,42492</link.rule.ids></links><search><contributor>Keravnou, Elpida</contributor><contributor>Garbay, Catherine</contributor><contributor>Baud, Robert</contributor><contributor>Wyatt, Jeremy</contributor><creatorcontrib>Bianchi, N.</creatorcontrib><creatorcontrib>Bottoni, P.</creatorcontrib><creatorcontrib>Garbay, C.</creatorcontrib><creatorcontrib>Mussio, P.</creatorcontrib><creatorcontrib>Spinu, C.</creatorcontrib><title>Distributed plan construction and execution for medical image interpretation</title><title>Artificial Intelligence in Medicine</title><description>Research in the field of medical image interpretation inspired a multi-agent planning model in which a population of agents reaches global goals pursuing local plans and producing partial results. Cooperation is achieved by collecting results, reanalysing the reached state and starting new plans; local plans are generated and executed in a distributed way. The state is composed of a directed graph, describing the currently obtained results and of an attributed string, concatenating the trace of the performed operations with the current plan. A model of agent and agent generation is presented and an example of application given in the field of liver biopsy interpretation.</description><subject>Global Goal</subject><subject>Interpretation Process</subject><subject>Local Plan</subject><subject>Result Graph</subject><subject>White Zone</subject><issn>0302-9743</issn><issn>1611-3349</issn><isbn>354062709X</isbn><isbn>9783540627098</isbn><isbn>9783540684480</isbn><isbn>3540684484</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>1997</creationdate><recordtype>book_chapter</recordtype><sourceid/><recordid>eNpFUMtOwzAQNC-JUnrhC3zkEljbm9g5QqGAFIkLSNyidbytDG1SxanE55MWJOaymtnZ0WqEuFJwowDs7f3CA-gSLR6JWWmdyREKh-jgWExUoVRmDJYn4uKw0BbKj1MxAQM6Ky2aczFL6RNGGK1QuYmoHmIa-uh3Awe5XVMrm64dlV0zxK6V1AbJ39zsDmzZ9XLDITa0lnFDK5axHbjf9jzQ3nApzpa0Tjz7m1Pxvnh8mz9n1evTy_yuypJybsh8UERgOOjcEY6PIIJH8pZyWwDBkkmhJ21dbjUp4mAD5kU5HrPGUJipuP7NTds-tivua991X6lWUO9bqv9bMj_BIVXQ</recordid><startdate>19970101</startdate><enddate>19970101</enddate><creator>Bianchi, N.</creator><creator>Bottoni, P.</creator><creator>Garbay, C.</creator><creator>Mussio, P.</creator><creator>Spinu, C.</creator><general>Springer Berlin Heidelberg</general><scope/></search><sort><creationdate>19970101</creationdate><title>Distributed plan construction and execution for medical image interpretation</title><author>Bianchi, N. ; Bottoni, P. ; Garbay, C. ; Mussio, P. ; Spinu, C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-s188t-bd1aa03ed258a4214440b4ab7a5760a0fea14ba278572a1aed7d4569188e24d63</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Global Goal</topic><topic>Interpretation Process</topic><topic>Local Plan</topic><topic>Result Graph</topic><topic>White Zone</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bianchi, N.</creatorcontrib><creatorcontrib>Bottoni, P.</creatorcontrib><creatorcontrib>Garbay, C.</creatorcontrib><creatorcontrib>Mussio, P.</creatorcontrib><creatorcontrib>Spinu, C.</creatorcontrib></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bianchi, N.</au><au>Bottoni, P.</au><au>Garbay, C.</au><au>Mussio, P.</au><au>Spinu, C.</au><au>Keravnou, Elpida</au><au>Garbay, Catherine</au><au>Baud, Robert</au><au>Wyatt, Jeremy</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Distributed plan construction and execution for medical image interpretation</atitle><btitle>Artificial Intelligence in Medicine</btitle><seriestitle>Lecture Notes in Computer Science</seriestitle><date>1997-01-01</date><risdate>1997</risdate><spage>403</spage><epage>416</epage><pages>403-416</pages><issn>0302-9743</issn><eissn>1611-3349</eissn><isbn>354062709X</isbn><isbn>9783540627098</isbn><eisbn>9783540684480</eisbn><eisbn>3540684484</eisbn><abstract>Research in the field of medical image interpretation inspired a multi-agent planning model in which a population of agents reaches global goals pursuing local plans and producing partial results. Cooperation is achieved by collecting results, reanalysing the reached state and starting new plans; local plans are generated and executed in a distributed way. The state is composed of a directed graph, describing the currently obtained results and of an attributed string, concatenating the trace of the performed operations with the current plan. A model of agent and agent generation is presented and an example of application given in the field of liver biopsy interpretation.</abstract><cop>Berlin, Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/BFb0029474</doi><tpages>14</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0302-9743
ispartof Artificial Intelligence in Medicine, 1997, p.403-416
issn 0302-9743
1611-3349
language eng
recordid cdi_springer_books_10_1007_BFb0029474
source Springer Books
subjects Global Goal
Interpretation Process
Local Plan
Result Graph
White Zone
title Distributed plan construction and execution for medical image interpretation
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T07%3A48%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-springer&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=bookitem&rft.atitle=Distributed%20plan%20construction%20and%20execution%20for%20medical%20image%20interpretation&rft.btitle=Artificial%20Intelligence%20in%20Medicine&rft.au=Bianchi,%20N.&rft.date=1997-01-01&rft.spage=403&rft.epage=416&rft.pages=403-416&rft.issn=0302-9743&rft.eissn=1611-3349&rft.isbn=354062709X&rft.isbn_list=9783540627098&rft_id=info:doi/10.1007/BFb0029474&rft_dat=%3Cspringer%3Espringer_books_10_1007_BFb0029474%3C/springer%3E%3Curl%3E%3C/url%3E&rft.eisbn=9783540684480&rft.eisbn_list=3540684484&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true