{"id":"https://openalex.org/W2714730444","doi":"https://doi.org/10.1109/isbi.2017.7950732","title":"Computational boundary definition by geodesic graph model","display_name":"Computational boundary definition by geodesic graph model","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2714730444","doi":"https://doi.org/10.1109/isbi.2017.7950732","mag":"2714730444"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2017.7950732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2017.7950732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)","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/A5004971220","display_name":"Hui Cui","orcid":"https://orcid.org/0000-0001-8224-4698"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hui Cui","raw_affiliation_strings":["BMIT research group, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BMIT research group, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046614213","display_name":"Xiuying Wang","orcid":"https://orcid.org/0000-0001-7160-5929"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiuying Wang","raw_affiliation_strings":["BMIT research group, University of Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BMIT research group, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047165067","display_name":"Jianlong Zhou","orcid":"https://orcid.org/0000-0001-6034-644X"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jianlong Zhou","raw_affiliation_strings":["DATA61 CSIRO, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DATA61 CSIRO, Australia","institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I42894916"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070206463","display_name":"Guanzhong Gong","orcid":"https://orcid.org/0000-0002-4943-8084"},"institutions":[{"id":"https://openalex.org/I4210100830","display_name":"Shandong Tumor Hospital","ror":"https://ror.org/01413r497","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210100830"]},{"id":"https://openalex.org/I4210163399","display_name":"Shandong First Medical University","ror":"https://ror.org/05jb9pq57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163399"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanzhong Gong","raw_affiliation_strings":["Shandong Tumor Hospital, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Tumor Hospital, China","institution_ids":["https://openalex.org/I4210100830","https://openalex.org/I4210163399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100715073","display_name":"Yong Yin","orcid":"https://orcid.org/0000-0003-2321-9200"},"institutions":[{"id":"https://openalex.org/I4210100830","display_name":"Shandong Tumor Hospital","ror":"https://ror.org/01413r497","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210100830"]},{"id":"https://openalex.org/I4210163399","display_name":"Shandong First Medical University","ror":"https://ror.org/05jb9pq57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163399"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Yin","raw_affiliation_strings":["Shandong Tumor Hospital, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Tumor Hospital, China","institution_ids":["https://openalex.org/I4210100830","https://openalex.org/I4210163399"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068891693","display_name":"Dagan Feng","orcid":"https://orcid.org/0000-0002-3381-214X"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Dagan Feng","raw_affiliation_strings":["BMIT research group, University of Sydney, Australia","Med-X Research Institute, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BMIT research group, University of Sydney, Australia","institution_ids":["https://openalex.org/I129604602"]},{"raw_affiliation_string":"Med-X Research Institute, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"103","issue":null,"first_page":"1201","last_page":"1204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10862","display_name":"AI in cancer detection","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.996399998664856,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/geodesic","display_name":"Geodesic","score":0.8854919672012329},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.7088145017623901},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6017066836357117},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5917633175849915},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5770601630210876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5214475989341736},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.46272626519203186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41697609424591064},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4154147505760193},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4094700813293457},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3238617181777954},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.25737208127975464},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1805141568183899},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08999073505401611}],"concepts":[{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.8854919672012329},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.7088145017623901},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6017066836357117},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5917633175849915},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5770601630210876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5214475989341736},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.46272626519203186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41697609424591064},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4154147505760193},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4094700813293457},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3238617181777954},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25737208127975464},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1805141568183899},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08999073505401611}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2017.7950732","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2017.7950732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W748803803","https://openalex.org/W2003088946","https://openalex.org/W2046382188","https://openalex.org/W2114650767","https://openalex.org/W2116373927","https://openalex.org/W2118273112","https://openalex.org/W2125637308","https://openalex.org/W2129766480","https://openalex.org/W2134839354","https://openalex.org/W2167388493","https://openalex.org/W2171147867","https://openalex.org/W2396230696","https://openalex.org/W2513560449","https://openalex.org/W6712357288"],"related_works":["https://openalex.org/W1978591761","https://openalex.org/W4287661821","https://openalex.org/W3133864228","https://openalex.org/W2941285539","https://openalex.org/W1579299075","https://openalex.org/W4206698794","https://openalex.org/W3089249579","https://openalex.org/W4286749417","https://openalex.org/W3126955880","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Delineation":[0],"of":[1,17,104],"blurry":[2],"boundary":[3,49,80,149],"from":[4,50],"medical":[5],"images":[6],"is":[7,19,70],"challenging":[8],"in":[9,87],"particular":[10],"when":[11],"the":[12,47,57,76,139,147],"target":[13],"object":[14],"or":[15,26],"region":[16],"interest":[18],"adjacent":[20],"to":[21,45,72,124,146],"other":[22],"tissues":[23],"with":[24,39,106,117,122],"similar":[25],"overlapping":[27],"intensity":[28],"distributions.":[29],"To":[30],"address":[31],"this":[32],"challenge,":[33],"we":[34],"propose":[35],"a":[36,88],"graph":[37,90],"model":[38,91,95],"adaptive":[40],"global":[41,54,141],"and":[42,60,64,74,78,120,127,133,142],"geodesic":[43,68,143],"constraints":[44],"contour":[46],"indistinct":[48],"CT":[51,102],"images.":[52],"The":[53,67,94,111,130],"factor":[55],"reflects":[56],"appearance":[58],"affinities":[59],"better":[61],"differentiates":[62],"background":[63],"foreground":[65],"objects.":[66],"compartment":[69],"capable":[71],"capture":[73],"highlight":[75],"thin":[77],"weak":[79],"information.":[81],"These":[82],"complementary":[83,140],"terms":[84],"are":[85],"incorporated":[86],"transductive":[89],"for":[92],"segmentation.":[93],"was":[96,115],"tested":[97],"on":[98],"20":[99],"low":[100],"contrast":[101],"studies":[103],"patients":[105],"non-small":[107],"cell":[108],"lung":[109],"cancer.":[110],"segmented":[112],"tumor":[113],"volume":[114],"compared":[116],"manual":[118],"delineations":[119],"evaluated":[121],"respect":[123],"spatial":[125],"overlap":[126],"shape":[128],"similarity.":[129],"experimental":[131],"results":[132],"student's":[134],"t-test":[135],"demonstrated":[136],"that":[137],"considering":[138],"factors":[144],"contributed":[145],"improved":[148],"definition.":[150]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
