{"id":"https://openalex.org/W2016937331","doi":"https://doi.org/10.1002/scj.4690250108","title":"Interactive 3\u2010dimensional segmentation method based on region growing method","display_name":"Interactive 3\u2010dimensional segmentation method based on region growing method","publication_year":1994,"publication_date":"1994-01-01","ids":{"openalex":"https://openalex.org/W2016937331","doi":"https://doi.org/10.1002/scj.4690250108","mag":"2016937331"},"language":"en","primary_location":{"id":"doi:10.1002/scj.4690250108","is_oa":false,"landing_page_url":"https://doi.org/10.1002/scj.4690250108","pdf_url":null,"source":{"id":"https://openalex.org/S58208175","display_name":"Systems and Computers in Japan","issn_l":"0882-1666","issn":["0882-1666","1520-684X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems and Computers in Japan","raw_type":"journal-article"},"type":"article","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/A5109836480","display_name":"Hiroyuki Sekiguchi","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Sekiguchi","raw_affiliation_strings":["Hiroyuki Sekiguchi received a B.E. in electronics in 1986 and an M.E. in 1988 from Kyoto University. In 1988, he entered Hitachi Seisakusho where he performed research on medical image processing in the Systems Development Laboratory. He is currently an Assistant Professor in the Applied Systems, Faculty of Engineering, Kyoto University","Systems Development Laboratory, Hitachi, Ltd., Kawasaki, Japan 215"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hiroyuki Sekiguchi received a B.E. in electronics in 1986 and an M.E. in 1988 from Kyoto University. In 1988, he entered Hitachi Seisakusho where he performed research on medical image processing in the Systems Development Laboratory. He is currently an Assistant Professor in the Applied Systems, Faculty of Engineering, Kyoto University","institution_ids":["https://openalex.org/I65143321"]},{"raw_affiliation_string":"Systems Development Laboratory, Hitachi, Ltd., Kawasaki, Japan 215","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069215806","display_name":"Koichi Sano","orcid":"https://orcid.org/0000-0002-5328-1550"},"institutions":[{"id":"https://openalex.org/I4210136425","display_name":"Japanese Society of Medical Oncology","ror":"https://ror.org/03fz8dh89","country_code":"JP","type":"nonprofit","lineage":["https://openalex.org/I4210136425"]},{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koichi Sano","raw_affiliation_strings":["Koichi Sano received a B.E. in systems engineering in 1976 and an M.E. in 1978 from Kobe University, In 1978, he entered the Systems Development Laboratory, Hitachi Seisakusho. His research interests are medical information processing systems and medical image processing. He is a member of the IEEE, the Japan Society of Medical Electronics and Biological Engineering, the Magnetic Resonance Medical Society of Japan, and the Society of Instrument and Control Engineers of Japan","Systems Development Laboratory, Hitachi, Ltd., Kawasaki, Japan 215"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Koichi Sano received a B.E. in systems engineering in 1976 and an M.E. in 1978 from Kobe University, In 1978, he entered the Systems Development Laboratory, Hitachi Seisakusho. His research interests are medical information processing systems and medical image processing. He is a member of the IEEE, the Japan Society of Medical Electronics and Biological Engineering, the Magnetic Resonance Medical Society of Japan, and the Society of Instrument and Control Engineers of Japan","institution_ids":["https://openalex.org/I4210136425"]},{"raw_affiliation_string":"Systems Development Laboratory, Hitachi, Ltd., Kawasaki, Japan 215","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100829727","display_name":"Tetsuo Yokoyama","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165369","display_name":"Isuzu Advanced Engineering Center (Japan)","ror":"https://ror.org/05nfvzf52","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210165369"]},{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuo Yokoyama","raw_affiliation_strings":["Central Research Laboratory, Hitachi, Ltd., Kokubunji, Japan 185","Tetsuo Yokoyama received a B.S. in health in 1970 from the Faculty of Medicine and an M.S. in 1972 from the University of Tokyo. He later received a doctorate in health from the University of Tokyo. He entered Hitachi Seisakusho in 1972 and is involved in research and development in medical information processing and image processing. Dr. Yokoyama is currently head of the Medical Electronics Research Center, Central Research Laboratory, Hitachi Ltd. He is a member of the IEEE, the Japan Society of Medical Electronics and Biological Engineering, and the Society of Instrument and Control Engineers of Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central Research Laboratory, Hitachi, Ltd., Kokubunji, Japan 185","institution_ids":["https://openalex.org/I65143321"]},{"raw_affiliation_string":"Tetsuo Yokoyama received a B.S. in health in 1970 from the Faculty of Medicine and an M.S. in 1972 from the University of Tokyo. He later received a doctorate in health from the University of Tokyo. He entered Hitachi Seisakusho in 1972 and is involved in research and development in medical information processing and image processing. Dr. Yokoyama is currently head of the Medical Electronics Research Center, Central Research Laboratory, Hitachi Ltd. He is a member of the IEEE, the Japan Society of Medical Electronics and Biological Engineering, and the Society of Instrument and Control Engineers of Japan","institution_ids":["https://openalex.org/I4210165369"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7872,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.69562147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"25","issue":"1","first_page":"88","last_page":"97"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.9986000061035156,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8216379880905151},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7677208185195923},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7360609173774719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7026745080947876},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6305709481239319},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.5261775255203247},{"id":"https://openalex.org/keywords/real-time-mri","display_name":"Real-time MRI","score":0.4982588291168213},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.4516264498233795},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4490717351436615},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.44244521856307983},{"id":"https://openalex.org/keywords/magnetic-resonance-imaging","display_name":"Magnetic resonance imaging","score":0.4210500717163086},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.30424249172210693},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.06608974933624268}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8216379880905151},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7677208185195923},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7360609173774719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7026745080947876},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6305709481239319},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.5261775255203247},{"id":"https://openalex.org/C157787499","wikidata":"https://www.wikidata.org/wiki/Q13479657","display_name":"Real-time MRI","level":3,"score":0.4982588291168213},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.4516264498233795},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4490717351436615},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.44244521856307983},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.4210500717163086},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.30424249172210693},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.06608974933624268},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/scj.4690250108","is_oa":false,"landing_page_url":"https://doi.org/10.1002/scj.4690250108","pdf_url":null,"source":{"id":"https://openalex.org/S58208175","display_name":"Systems and Computers in Japan","issn_l":"0882-1666","issn":["0882-1666","1520-684X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems and Computers in Japan","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2119231080","https://openalex.org/W6677652180"],"related_works":["https://openalex.org/W2394279717","https://openalex.org/W2364730859","https://openalex.org/W3144569342","https://openalex.org/W2386644571","https://openalex.org/W4313052709","https://openalex.org/W1522196789","https://openalex.org/W2551987074","https://openalex.org/W4281943322","https://openalex.org/W2368273968","https://openalex.org/W2185902295"],"abstract_inverted_index":{"Abstract":[0],"It":[1],"has":[2],"become":[3],"easy":[4],"to":[5,56,69,106,167],"obtain":[6],"three\u2010dimensional":[7],"(3D)":[8],"data":[9,39,171],"of":[10,13,18,33,50,61,82,110,172],"the":[11,14,44,51,58,62,79,94,98,107,148,157,173],"inside":[12],"human":[15],"body":[16],"because":[17],"developments":[19],"in":[20,42,72,92,96,123,133],"X\u2010ray":[21],"computed":[22],"tomography":[23],"(CT)":[24],"and":[25,47,53,85,151,175],"magnetic":[26],"resonance":[27],"imaging":[28],"(MRI).":[29],"The":[30],"3D":[31,45,83,88,111,129,134,144,169],"images":[32,60,84,130],"internal":[34],"organs":[35,52],"constructed":[36],"from":[37],"these":[38],"are":[40,54,131],"useful":[41],"understanding":[43],"shapes":[46],"positional":[48],"relationships":[49],"expected":[55],"be":[57,70],"diagnostic":[59],"next":[63],"generation.":[64],"However,":[65],"many":[66],"problems":[67],"remain":[68],"solved":[71],"making":[73],"them":[74],"practical,":[75],"such":[76],"as,":[77],"improving":[78],"display":[80,99],"speed":[81],"implementing":[86],"a":[87,103,119,143],"interface.":[89],"For":[90],"MRI,":[91],"particular,":[93],"difficulty":[95],"segmenting":[97],"image":[100],"is":[101],"becoming":[102],"major":[104],"impediment":[105],"practical":[108,120],"use":[109],"MRI":[112,170],"images.":[113],"In":[114],"this":[115,139],"paper,":[116],"we":[117,141],"propose":[118],"segmentation":[121,149],"method":[122,164],"which":[124],"interactive":[125],"corrective":[126],"operations":[127],"for":[128,147,155],"included":[132],"region":[135,161],"growing.":[136,162],"To":[137],"implement":[138],"method,":[140],"developed":[142],"monitoring":[145],"function":[146,154],"process":[150],"an":[152],"automatic":[153],"removing":[156],"leaks":[158],"generated":[159],"during":[160],"This":[163],"was":[165,178],"applied":[166],"several":[168],"head":[174],"its":[176],"effectiveness":[177],"confirmed.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-23T06:36:01.041984","created_date":"2025-10-10T00:00:00"}
