{"id":"https://openalex.org/W2917531299","doi":"https://doi.org/10.1080/17517575.2019.1575985","title":"A sonography image processing system for tumour segmentation","display_name":"A sonography image processing system for tumour segmentation","publication_year":2019,"publication_date":"2019-02-22","ids":{"openalex":"https://openalex.org/W2917531299","doi":"https://doi.org/10.1080/17517575.2019.1575985","mag":"2917531299"},"language":"en","primary_location":{"id":"doi:10.1080/17517575.2019.1575985","is_oa":false,"landing_page_url":"https://doi.org/10.1080/17517575.2019.1575985","pdf_url":null,"source":{"id":"https://openalex.org/S24861202","display_name":"Enterprise Information Systems","issn_l":"1751-7575","issn":["1751-7575","1751-7583"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Enterprise Information Systems","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/A5101981950","display_name":"Chung\u2010Ming Chen","orcid":"https://orcid.org/0000-0002-0023-5817"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Ming Chen","raw_affiliation_strings":["Institute of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, R.O.C., Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, R.O.C., Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100727563","display_name":"Shuwei Zhang","orcid":"https://orcid.org/0000-0001-7479-2504"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shu-Wei Zhang","raw_affiliation_strings":["Institute of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, R.O.C., Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Biomedical Engineering, College of Medicine and College of Engineering, National Taiwan University, R.O.C., Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104636247","display_name":"Chih\u2010Yu Hsu","orcid":"https://orcid.org/0000-0003-1074-8170"},"institutions":[{"id":"https://openalex.org/I126145234","display_name":"Chaoyang University of Technology","ror":"https://ror.org/04xwksx09","country_code":"TW","type":"education","lineage":["https://openalex.org/I126145234"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chih-Yu Hsu","raw_affiliation_strings":["Department of Information and Communication Engineering, Chaoyang University of Technology, R.O.C., Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information and Communication Engineering, Chaoyang University of Technology, R.O.C., Taichung, Taiwan","institution_ids":["https://openalex.org/I126145234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5104636247"],"corresponding_institution_ids":["https://openalex.org/I126145234"],"apc_list":null,"apc_paid":null,"fwci":0.5061,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.67807169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"14","issue":"2","first_page":"159","last_page":"177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10862","display_name":"AI in cancer detection","score":0.9884999990463257,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.980400025844574,"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/active-contour-model","display_name":"Active contour model","score":0.8793894052505493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6582182049751282},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6337080001831055},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6119541525840759},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.594629168510437},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.5883321166038513},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5404025912284851},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5055124759674072},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4918997287750244},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4711379408836365},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.4593394994735718},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45115697383880615},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4346492290496826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4327208697795868},{"id":"https://openalex.org/keywords/level-set-method","display_name":"Level set method","score":0.41566652059555054},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3219567537307739}],"concepts":[{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.8793894052505493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6582182049751282},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6337080001831055},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6119541525840759},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.594629168510437},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.5883321166038513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5404025912284851},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5055124759674072},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4918997287750244},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4711379408836365},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.4593394994735718},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45115697383880615},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4346492290496826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4327208697795868},{"id":"https://openalex.org/C125269122","wikidata":"https://www.wikidata.org/wiki/Q1751397","display_name":"Level set method","level":4,"score":0.41566652059555054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3219567537307739},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/17517575.2019.1575985","is_oa":false,"landing_page_url":"https://doi.org/10.1080/17517575.2019.1575985","pdf_url":null,"source":{"id":"https://openalex.org/S24861202","display_name":"Enterprise Information Systems","issn_l":"1751-7575","issn":["1751-7575","1751-7583"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Enterprise Information Systems","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":20,"referenced_works":["https://openalex.org/W1987579928","https://openalex.org/W2078059979","https://openalex.org/W2093834886","https://openalex.org/W2096201928","https://openalex.org/W2097222278","https://openalex.org/W2104095591","https://openalex.org/W2111708437","https://openalex.org/W2114487471","https://openalex.org/W2116040950","https://openalex.org/W2119249988","https://openalex.org/W2137137397","https://openalex.org/W2138524633","https://openalex.org/W2144133758","https://openalex.org/W2147427282","https://openalex.org/W2149184914","https://openalex.org/W2165734775","https://openalex.org/W2168337526","https://openalex.org/W3211330693","https://openalex.org/W4245550249","https://openalex.org/W4386445991"],"related_works":["https://openalex.org/W2368150111","https://openalex.org/W2098360446","https://openalex.org/W1981799498","https://openalex.org/W2085859079","https://openalex.org/W2095049733","https://openalex.org/W2391867215","https://openalex.org/W2111620695","https://openalex.org/W1989828405","https://openalex.org/W2367780470","https://openalex.org/W2005424083"],"abstract_inverted_index":{"A":[0],"sonography":[1],"image":[2],"processing":[3],"system":[4],"for":[5,90],"tumour":[6],"segmentation":[7],"is":[8,44,50,63],"implemented":[9],"by":[10,52,82,106],"using":[11],"the":[12,31,54,57,67,71,77,83,92,101,107,114,117,120],"active":[13,72,85,109],"contour":[14,86,110],"model":[15,34,43],"based":[16],"on":[17,39],"level":[18,32],"set":[19,33],"formulation.":[20],"To":[21],"achieve":[22],"extraction":[23],"of":[24,56,61,70,79,103,119],"weak":[25,96,121],"edges":[26],"in":[27],"speckle":[28],"noisy":[29],"images,":[30],"called":[35],"Edge":[36],"Attraction":[37],"Force":[38],"Chan":[40],"and":[41,113],"Vese":[42],"developed.":[45],"The":[46],"cell":[47],"competition":[48],"algorithm":[49],"modified":[51],"adding":[53],"information":[55],"cells\u2019":[58],"edges.":[59,97,122],"Calculus":[60],"variation":[62],"taken":[64],"to":[65],"derive":[66],"evolution":[68],"equation":[69],"contour.":[73],"Experiments":[74,98],"demonstrate":[75,99],"that":[76,100],"boundaries":[78,102],"tumours":[80],"extracted":[81,105],"proposed":[84,108],"are":[87,111],"more":[88],"accurate":[89,112],"conquering":[91],"drawbacks":[93,118],"coming":[94],"from":[95],"tumors":[104],"results":[115],"avoid":[116]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}