{"id":"https://openalex.org/W1996317229","doi":"https://doi.org/10.1109/icip.2010.5651171","title":"Interactive segmentation of medical images using belief propagation with level sets","display_name":"Interactive segmentation of medical images using belief propagation with level sets","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W1996317229","doi":"https://doi.org/10.1109/icip.2010.5651171","mag":"1996317229"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5651171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5651171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101289796","display_name":"Yingxuan Zhu","orcid":"https://orcid.org/0009-0000-8697-1948"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingxuan Zhu","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, USA","Dept. of Electrical Engineering and Computer Science, Syracuse Univ., USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, USA","institution_ids":["https://openalex.org/I70983195"]},{"raw_affiliation_string":"Dept. of Electrical Engineering and Computer Science, Syracuse Univ., USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017174019","display_name":"Samuel Cheng","orcid":"https://orcid.org/0000-0002-5439-1137"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]},{"id":"https://openalex.org/I87208437","display_name":"University of Tulsa","ror":"https://ror.org/04wn28048","country_code":"US","type":"education","lineage":["https://openalex.org/I87208437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel Cheng","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Oklahama, Tulsa, USA","School of Electrical and Computer Eng., University of Oklahoma, Tulsa, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Oklahama, Tulsa, USA","institution_ids":["https://openalex.org/I87208437"]},{"raw_affiliation_string":"School of Electrical and Computer Eng., University of Oklahoma, Tulsa, USA#TAB#","institution_ids":["https://openalex.org/I8692664","https://openalex.org/I87208437"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102476504","display_name":"Amrit L. Goel","orcid":null},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amrit Goel","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Syracuse University, USA","Dept. of Electrical Engineering and Computer Science, Syracuse Univ., USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Syracuse University, USA","institution_ids":["https://openalex.org/I70983195"]},{"raw_affiliation_string":"Dept. of Electrical Engineering and Computer Science, Syracuse Univ., USA","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8158,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.69681339,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4113","last_page":"4116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.8291726112365723},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7661707997322083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7201833724975586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6912979483604431},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6673803329467773},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6364895105361938},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6108312010765076},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5697946548461914},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5667670965194702},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.47003453969955444},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4587988257408142},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42020896077156067},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.382018506526947},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2396526336669922}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8291726112365723},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7661707997322083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7201833724975586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6912979483604431},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6673803329467773},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6364895105361938},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6108312010765076},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5697946548461914},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5667670965194702},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.47003453969955444},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4587988257408142},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42020896077156067},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.382018506526947},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2396526336669922},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2010.5651171","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5651171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.687.2779","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.687.2779","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://yzhu03.mysite.syr.edu/pubs/ICIP2010.pdf?origin%3Dpublication_detail","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1663973292","https://openalex.org/W2075881245","https://openalex.org/W2081351607","https://openalex.org/W2098387242","https://openalex.org/W2104460869","https://openalex.org/W2107175890","https://openalex.org/W2114487471","https://openalex.org/W2116040950","https://openalex.org/W2135414191","https://openalex.org/W2137813581","https://openalex.org/W2146976149","https://openalex.org/W2151646056","https://openalex.org/W2159080219","https://openalex.org/W2163812102","https://openalex.org/W2180905035","https://openalex.org/W4212863985","https://openalex.org/W6669417847","https://openalex.org/W6679976522","https://openalex.org/W6682450420"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W1986655823","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2372421320"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"an":[5],"interactive":[6],"segmentation":[7,15,78,109],"method":[8,22,115],"to":[9,25,29,36,58,104,118],"apply":[10],"user":[11,45,52,83],"information":[12,53,84],"during":[13],"the":[14,51,55,63,66,69,73,77,99,119],"of":[16,65],"a":[17,31],"specific":[18],"anatomic":[19],"structure.":[20],"This":[21],"is":[23,90,101,116],"formulated":[24],"use":[26],"belief":[27],"propagation":[28,41],"minimize":[30],"global":[32,86],"cost":[33],"function":[34],"according":[35],"local":[37,82],"level":[38,71],"sets.":[39],"The":[40,107],"starts":[42],"with":[43,121],"one":[44],"labeled":[46,56,74],"point,":[47],"and":[48,85,95,125],"iteratively":[49],"extends":[50],"from":[54],"pixel":[57],"its":[59,105],"neighborhood":[60],"by":[61,93],"calculating":[62],"beliefs":[64],"pixels":[67],"in":[68],"same":[70],"as":[72],"pixel.":[75],"Since":[76],"relies":[79],"on":[80],"both":[81],"image":[87],"features,":[88],"it":[89],"less":[91],"interrupted":[92],"noise,":[94],"works":[96],"well":[97],"even":[98],"target":[100],"not":[102],"obvious":[103],"neighbor.":[106],"promising":[108],"results":[110],"also":[111],"show":[112],"that":[113],"our":[114],"robust":[117],"objects":[120],"high":[122],"shape":[123],"variation":[124],"inhomogeneous":[126],"intensity":[127],"value":[128],"appearance.":[129]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
