{"id":"https://openalex.org/W3167133166","doi":"https://doi.org/10.1142/s021946782250019x","title":"Morphology Preserving Segmentation Method for Occluded Cell Nuclei from Medical Microscopy Image","display_name":"Morphology Preserving Segmentation Method for Occluded Cell Nuclei from Medical Microscopy Image","publication_year":2021,"publication_date":"2021-06-04","ids":{"openalex":"https://openalex.org/W3167133166","doi":"https://doi.org/10.1142/s021946782250019x","mag":"3167133166"},"language":"en","primary_location":{"id":"doi:10.1142/s021946782250019x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021946782250019x","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"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 Image and Graphics","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/A5069185004","display_name":"Rafflesia Khan","orcid":"https://orcid.org/0000-0001-9006-6748"},"institutions":[{"id":"https://openalex.org/I230495080","display_name":"University of Limerick","ror":"https://ror.org/00a0n9e72","country_code":"IE","type":"education","lineage":["https://openalex.org/I230495080"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Rafflesia Khan","raw_affiliation_strings":["Department of Computer Science and Information Systems, University of Limerick, Limerick, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Systems, University of Limerick, Limerick, Ireland","institution_ids":["https://openalex.org/I230495080"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087025013","display_name":"Rameswar Debnath","orcid":"https://orcid.org/0000-0002-1214-6133"},"institutions":[{"id":"https://openalex.org/I124386471","display_name":"Khulna University","ror":"https://ror.org/05pny7s12","country_code":"BD","type":"education","lineage":["https://openalex.org/I124386471"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Rameswar Debnath","raw_affiliation_strings":["Computer Science and Engineering Discipline, Khulna University, Khulna, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Discipline, Khulna University, Khulna, Bangladesh","institution_ids":["https://openalex.org/I124386471"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4669,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77987383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"22","issue":"02","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9987000226974487,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.996999979019165,"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":0.8010871410369873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7641705274581909},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.73900306224823},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.72691410779953},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6575860977172852},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5153452754020691},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5063029527664185},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4952763617038727},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48337167501449585},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47752606868743896},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.45891958475112915},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.4451198875904083},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.42801064252853394}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.8010871410369873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7641705274581909},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73900306224823},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.72691410779953},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6575860977172852},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5153452754020691},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5063029527664185},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4952763617038727},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48337167501449585},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47752606868743896},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.45891958475112915},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.4451198875904083},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.42801064252853394}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s021946782250019x","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s021946782250019x","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"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 Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1533162639","https://openalex.org/W1939349075","https://openalex.org/W1992058099","https://openalex.org/W2012637535","https://openalex.org/W2013177963","https://openalex.org/W2018784030","https://openalex.org/W2019062120","https://openalex.org/W2037776979","https://openalex.org/W2051135882","https://openalex.org/W2055398836","https://openalex.org/W2065429801","https://openalex.org/W2065455422","https://openalex.org/W2079690285","https://openalex.org/W2080391831","https://openalex.org/W2082526668","https://openalex.org/W2104311408","https://openalex.org/W2116040950","https://openalex.org/W2119049509","https://openalex.org/W2119774436","https://openalex.org/W2125067234","https://openalex.org/W2128457244","https://openalex.org/W2132031490","https://openalex.org/W2133059825","https://openalex.org/W2134993189","https://openalex.org/W2139888281","https://openalex.org/W2145658732","https://openalex.org/W2181901042","https://openalex.org/W2252113873","https://openalex.org/W2284198383","https://openalex.org/W2288892845","https://openalex.org/W2342591535","https://openalex.org/W2515544675","https://openalex.org/W2525606708","https://openalex.org/W2550409828","https://openalex.org/W2551780400","https://openalex.org/W2552780611","https://openalex.org/W2559655401","https://openalex.org/W2571012312","https://openalex.org/W2577960206","https://openalex.org/W2738088905","https://openalex.org/W2743632132","https://openalex.org/W2758960007","https://openalex.org/W2790564346","https://openalex.org/W2793164428","https://openalex.org/W2806530968","https://openalex.org/W2889668862","https://openalex.org/W2910522659","https://openalex.org/W2947263797","https://openalex.org/W2961912654","https://openalex.org/W2962914239","https://openalex.org/W2964046493","https://openalex.org/W2995609149"],"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/W2551987074","https://openalex.org/W4281943322","https://openalex.org/W2368273968","https://openalex.org/W2185902295","https://openalex.org/W2383720950"],"abstract_inverted_index":{"Nowadays,":[0],"image":[1,129,168],"segmentation":[2,28,65,197],"techniques":[3],"are":[4,81],"being":[5],"used":[6],"in":[7,47,108,143,199],"many":[8],"medical":[9,48,128,190],"applications":[10],"such":[11],"as":[12],"tissue":[13],"culture":[14],"monitoring,":[15],"cell":[16,98],"counting,":[17],"automatic":[18,127],"measurement":[19],"of":[20,56,70,73,139,160,186,189,202],"organs,":[21],"etc.,":[22],"for":[23,39,89,126],"assisting":[24],"doctors.":[25],"However,":[26],"high-level":[27],"results":[29,175],"cannot":[30],"be":[31],"obtained":[32],"without":[33,113],"manual":[34,114],"annotation":[35,115],"or":[36,110,116],"prior":[37,117],"knowledge":[38],"high":[40],"variability,":[41],"noise":[42],"and":[43,52,61,75,100,162,192],"other":[44],"imaging":[45],"artifacts":[46],"images.":[49],"Furthermore,":[50],"unstable":[51],"continuously":[53],"changing":[54],"characteristics":[55],"all":[57,140],"human":[58],"cells,":[59],"tissues":[60],"organs":[62],"manipulate":[63],"training-based":[64],"methods.":[66],"Detecting":[67],"appropriate":[68],"contour":[69],"a":[71,90,122,144],"region":[72,130],"interest":[74],"single":[76],"cells":[77],"from":[78,166],"overlapping":[79,109],"condition":[80,112],"extremely":[82],"challenging.":[83],"In":[84],"this":[85],"paper,":[86],"we":[87],"aim":[88],"model":[91,157,179],"that":[92,177],"can":[93],"detect":[94],"biological":[95],"structure":[96],"(e.g.":[97],"nuclei":[99],"lung":[101],"contour)":[102],"with":[103],"their":[104,154],"proper":[105],"morphology":[106],"even":[107],"occluded":[111],"knowledge.":[118],"We":[119],"have":[120],"introduced":[121],"new":[123],"optimal":[124],"approach":[125],"segmentation.":[131],"The":[132],"method":[133],"first":[134],"clearly":[135],"focuses":[136],"the":[137,150,200],"boundaries":[138],"object":[141,164],"regions":[142,165],"microscopy":[145],"image.":[146],"Then":[147],"it":[148],"detects":[149],"areas":[151],"by":[152],"following":[153],"contours.":[155],"Our":[156,173],"is":[158],"capable":[159],"detecting":[161],"segmenting":[163],"medial":[167],"using":[169],"less":[170],"computation":[171],"effort.":[172],"experimental":[174],"prove":[176],"our":[178],"provides":[180],"better":[181],"detection":[182],"on":[183],"several":[184],"datasets":[185],"different":[187],"types":[188],"data":[191],"ensures":[193],"more":[194],"than":[195],"98%":[196],"rate":[198],"case":[201],"densely":[203],"connected":[204],"regions.":[205]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}