{"id":"https://openalex.org/W2891153504","doi":"https://doi.org/10.1142/s0218001419540193","title":"Watershed Algorithm for Medical Image Segmentation Based on Morphology and Total Variation Model","display_name":"Watershed Algorithm for Medical Image Segmentation Based on Morphology and Total Variation Model","publication_year":2018,"publication_date":"2018-09-11","ids":{"openalex":"https://openalex.org/W2891153504","doi":"https://doi.org/10.1142/s0218001419540193","mag":"2891153504"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001419540193","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001419540193","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5031409604","display_name":"Yingbo Liang","orcid":"https://orcid.org/0000-0003-3140-5011"},"institutions":[{"id":"https://openalex.org/I4210093674","display_name":"Zhoukou Normal University","ror":"https://ror.org/00jjkh886","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210093674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingbo Liang","raw_affiliation_strings":["Academic Affairs Office, ZhouKou Normal University, East Section of Wenchang, ZhouKou, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-3140-5011","affiliations":[{"raw_affiliation_string":"Academic Affairs Office, ZhouKou Normal University, East Section of Wenchang, ZhouKou, P. R. China","institution_ids":["https://openalex.org/I4210093674"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101891348","display_name":"Jian Fu","orcid":"https://orcid.org/0000-0001-7044-5302"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Fu","raw_affiliation_strings":["School of Automation, Wuhan University of Technology, 122 Shishi Road, WuHan, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Wuhan University of Technology, 122 Shishi Road, WuHan, P. R. China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5607,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.87827305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"33","issue":"05","first_page":"1954019","last_page":"1954019"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9811999797821045,"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":0.9793000221252441,"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":0.7646009922027588},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7166552543640137},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6491373777389526},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.609096884727478},{"id":"https://openalex.org/keywords/watershed","display_name":"Watershed","score":0.5652689933776855},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5638137459754944},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5490760803222656},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5439910292625427},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5185142755508423},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.51670241355896},{"id":"https://openalex.org/keywords/morphological-gradient","display_name":"Morphological gradient","score":0.5154432058334351},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.48619621992111206},{"id":"https://openalex.org/keywords/mathematical-morphology","display_name":"Mathematical morphology","score":0.459995836019516},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3963261842727661},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29652833938598633}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7646009922027588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7166552543640137},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6491373777389526},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.609096884727478},{"id":"https://openalex.org/C150547873","wikidata":"https://www.wikidata.org/wiki/Q947851","display_name":"Watershed","level":2,"score":0.5652689933776855},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5638137459754944},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5490760803222656},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5439910292625427},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5185142755508423},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.51670241355896},{"id":"https://openalex.org/C96133863","wikidata":"https://www.wikidata.org/wiki/Q6913458","display_name":"Morphological gradient","level":5,"score":0.5154432058334351},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.48619621992111206},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.459995836019516},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3963261842727661},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29652833938598633}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001419540193","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001419540193","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G6067281500","display_name":null,"funder_award_id":"61773299","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7359865384","display_name":null,"funder_award_id":"162102310607","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W68870254","https://openalex.org/W1878405005","https://openalex.org/W2016587710","https://openalex.org/W2098652620","https://openalex.org/W2124260943","https://openalex.org/W2344126189","https://openalex.org/W2472201084","https://openalex.org/W2510155167","https://openalex.org/W2532496585","https://openalex.org/W2548828405","https://openalex.org/W4233279871"],"related_works":["https://openalex.org/W2429125578","https://openalex.org/W2347598901","https://openalex.org/W2171574816","https://openalex.org/W2892082603","https://openalex.org/W2150504945","https://openalex.org/W2189360509","https://openalex.org/W1522429714","https://openalex.org/W2102204097","https://openalex.org/W3196005494","https://openalex.org/W2151127274"],"abstract_inverted_index":{"The":[0,124,150],"traditional":[1],"watershed":[2,34,122,148],"algorithm":[3,36],"has":[4],"the":[5,65,71,76,85,92,104,115,141,158,180],"limitation":[6],"of":[7,51,61,79,82,126,130,161,168,183,188],"false":[8],"mark":[9],"in":[10,185],"medical":[11,47],"image":[12,48,86,118,134],"segmentation,":[13],"which":[14,163],"causes":[15],"over-segmentation":[16],"and":[17,41,94,103,128],"images":[18,60,67,81,107,167,187],"to":[19,121],"be":[20],"contaminated":[21],"by":[22,70,99,110],"noise":[23,87],"possibly":[24],"during":[25],"acquisition.":[26],"In":[27,172],"this":[28,174],"study,":[29],"we":[30],"proposed":[31],"an":[32],"improved":[33],"segmentation":[35,127,142,181],"based":[37],"on":[38,58,138],"morphological":[39,53],"processing":[40],"total":[42],"variation":[43],"model":[44],"(TV)":[45],"for":[46],"segmentation.":[49],"First":[50],"all,":[52],"gradient":[54,66,105,117],"preprocessing":[55],"is":[56,88,119,135],"performed":[57],"MRI":[59,80,133,166,186],"brain":[62,83,131,169,189],"lesions.":[63,190],"Secondly,":[64],"are":[68,97,108,144],"denoised":[69],"all-variational":[72],"model.":[73],"While":[74],"retaining":[75],"edge":[77],"information":[78],"lesions,":[84],"reduced.":[89],"And":[90,140],"then,":[91],"internal":[93],"external":[95],"markers":[96],"obtained":[98],"forced":[100],"minimum":[101],"technique,":[102],"amplitude":[106],"corrected":[109],"using":[111],"these":[112],"markers.":[113],"Finally,":[114],"modified":[116],"subjected":[120],"transformation.":[123],"experiment":[125],"simulation":[129],"lesion":[132],"carried":[136],"out":[137],"MATLAB.":[139],"results":[143,152,182],"compared":[145],"with":[146],"other":[147],"algrothims.":[149],"experimental":[151],"demonstrate":[153],"that":[154],"our":[155],"method":[156,175],"obtains":[157],"least":[159],"number":[160],"regions,":[162],"can":[164,176],"extract":[165],"lesions":[170,184],"effectively.":[171],"addition,":[173],"inhibit":[177],"over-segmentation,":[178],"improving":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
