{"id":"https://openalex.org/W2548555170","doi":"https://doi.org/10.3390/jimaging2040031","title":"3D Clumped Cell Segmentation Using Curvature Based Seeded Watershed","display_name":"3D Clumped Cell Segmentation Using Curvature Based Seeded Watershed","publication_year":2016,"publication_date":"2016-11-05","ids":{"openalex":"https://openalex.org/W2548555170","doi":"https://doi.org/10.3390/jimaging2040031","mag":"2548555170","pmid":"https://pubmed.ncbi.nlm.nih.gov/28280723"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging2040031","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging2040031","pdf_url":"https://www.mdpi.com/2313-433X/2/4/31/pdf?version=1478839030","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/2/4/31/pdf?version=1478839030","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008331749","display_name":"Thomas Atta-Fosu","orcid":"https://orcid.org/0000-0001-9259-3592"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Atta-Fosu","raw_affiliation_strings":["Department of Mathematics, Applied Mathematics and Statistics, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Applied Mathematics and Statistics, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101773276","display_name":"Weihong Guo","orcid":"https://orcid.org/0000-0001-5796-3527"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Weihong Guo","raw_affiliation_strings":["Department of Mathematics, Applied Mathematics and Statistics, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Applied Mathematics and Statistics, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020614950","display_name":"Dana Jeter","orcid":null},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dana Jeter","raw_affiliation_strings":["Department of Mathematics, Applied Mathematics and Statistics, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Applied Mathematics and Statistics, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040381991","display_name":"Claudia Mieko Mizutani","orcid":null},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Claudia Mizutani","raw_affiliation_strings":["Department of Biology, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biology, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086583273","display_name":"Nathan Stopczynski","orcid":null},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan Stopczynski","raw_affiliation_strings":["Department of Biology, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biology, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020670673","display_name":"Rui Sousa\u2010Neves","orcid":null},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rui Sousa-Neves","raw_affiliation_strings":["Department of Genetics and Genome Science, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Genetics and Genome Science, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, USA","institution_ids":["https://openalex.org/I58956616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101773276"],"corresponding_institution_ids":["https://openalex.org/I58956616"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.845,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.81297722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2","issue":"4","first_page":"31","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9991000294685364,"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":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.86175537109375},{"id":"https://openalex.org/keywords/watershed","display_name":"Watershed","score":0.8274070620536804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6610733866691589},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6287028789520264},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5843825936317444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5817294120788574},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.5786453485488892},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5240771174430847},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.5137733221054077},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.5050008893013},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4643910527229309},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.432994544506073},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4303544759750366},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3991989493370056},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33791279792785645},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13179680705070496}],"concepts":[{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.86175537109375},{"id":"https://openalex.org/C150547873","wikidata":"https://www.wikidata.org/wiki/Q947851","display_name":"Watershed","level":2,"score":0.8274070620536804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6610733866691589},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6287028789520264},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5843825936317444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5817294120788574},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.5786453485488892},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5240771174430847},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.5137733221054077},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.5050008893013},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4643910527229309},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.432994544506073},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4303544759750366},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3991989493370056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33791279792785645},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13179680705070496},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/jimaging2040031","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging2040031","pdf_url":"https://www.mdpi.com/2313-433X/2/4/31/pdf?version=1478839030","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:28280723","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28280723","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:fd548baeabc8413e9e6f582d5b1b13fd","is_oa":true,"landing_page_url":"https://doaj.org/article/fd548baeabc8413e9e6f582d5b1b13fd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Imaging, Vol 2, Iss 4, p 31 (2016)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:5340274","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5340274","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/jimaging2040031","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging2040031","pdf_url":"https://www.mdpi.com/2313-433X/2/4/31/pdf?version=1478839030","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G2191215995","display_name":null,"funder_award_id":"R21EB016535","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4605408781","display_name":"Collaborative Research: An Integrated Approach to Convex Optimization Algorithms","funder_award_id":"1521582","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4945373397","display_name":null,"funder_award_id":"R33 AG049863","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"},{"id":"https://openalex.org/G5283816951","display_name":null,"funder_award_id":"R33AG049863","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G5549516077","display_name":null,"funder_award_id":"R21 EB016535","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G6077589365","display_name":null,"funder_award_id":"IOS-1051662","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6833139538","display_name":"Evolution of dorsal-ventral patterning mechanisms in sibling Drosophila species","funder_award_id":"1051662","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G732395274","display_name":null,"funder_award_id":"DMS-1521582","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310281","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2548555170.pdf","grobid_xml":"https://content.openalex.org/works/W2548555170.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W116833144","https://openalex.org/W1211342573","https://openalex.org/W1530090448","https://openalex.org/W1652775531","https://openalex.org/W1949248870","https://openalex.org/W1993532172","https://openalex.org/W2005325710","https://openalex.org/W2025818287","https://openalex.org/W2033403400","https://openalex.org/W2044854455","https://openalex.org/W2051323180","https://openalex.org/W2070008638","https://openalex.org/W2075857192","https://openalex.org/W2076927398","https://openalex.org/W2077498183","https://openalex.org/W2080823694","https://openalex.org/W2115142737","https://openalex.org/W2116040950","https://openalex.org/W2116707521","https://openalex.org/W2119929398","https://openalex.org/W2120549843","https://openalex.org/W2123402141","https://openalex.org/W2135467721","https://openalex.org/W2141082694","https://openalex.org/W2151538727","https://openalex.org/W3013741643","https://openalex.org/W3105265400","https://openalex.org/W4256129399","https://openalex.org/W4285719527","https://openalex.org/W6604786209","https://openalex.org/W6627943071","https://openalex.org/W6669488091","https://openalex.org/W6775610265"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W2354676191","https://openalex.org/W3188646203","https://openalex.org/W136674370","https://openalex.org/W4246278799","https://openalex.org/W2909957174","https://openalex.org/W2105527480","https://openalex.org/W2052387497","https://openalex.org/W2050203848","https://openalex.org/W2050191802"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,195],"is":[2,29,41,61,115,154],"an":[3,74],"important":[4,31],"process":[5],"that":[6,40,222],"separates":[7],"objects":[8],"from":[9,14],"the":[10,20,65,91,94,103,106,125,129,151,168,171,174,183,186,199,204,213,216,225,240,243],"background":[11],"and":[12,35,37,46,59,132,238],"also":[13,223],"each":[15],"other.":[16],"Applied":[17],"to":[18,110,149,166],"cells,":[19],"results":[21],"can":[22,87],"be":[23,88],"used":[24,43],"for":[25,170],"cell":[26],"counting":[27],"which":[28,162],"very":[30],"in":[32,77,90,102,138],"medical":[33,47],"diagnosis":[34],"treatment,":[36],"biological":[38],"research":[39],"often":[42],"by":[44,155],"scientists":[45],"practitioners.":[48],"Segmenting":[49],"3D":[50],"confocal":[51],"microscopy":[52],"images":[53],"containing":[54],"cells":[55],"of":[56,85,96,128,176,185,203,215,228,242],"different":[57],"shapes":[58],"sizes":[60],"still":[62],"challenging":[63],"as":[64,212],"nuclei":[66,80],"are":[67,143,210],"closely":[68],"packed.":[69],"The":[70,121,208],"watershed":[71,107,123,179],"transform":[72,108],"provides":[73],"efficient":[75],"tool":[76],"segmenting":[78],"such":[79],"provided":[81],"a":[82,156,177,194],"reasonable":[83],"set":[84],"markers":[86],"found":[89],"image.":[92],"In":[93,189],"presence":[95],"low-contrast":[97],"variation":[98],"or":[99],"excessive":[100],"noise":[101],"given":[104],"image,":[105],"leads":[109],"over-segmentation":[111],"(a":[112],"single":[113,164],"object":[114,140],"overly":[116],"split":[117],"into":[118],"multiple":[119,136],"objects).":[120],"traditional":[122],"uses":[124],"local":[126,152],"minima":[127,137,153,169],"input":[130],"image":[131],"will":[133],"characteristically":[134],"find":[135],"one":[139],"unless":[141],"they":[142],"specified":[144],"(marker-controlled":[145],"watershed).":[146],"An":[147],"alternative":[148],"using":[150,206],"supervised":[157],"technique":[158],"called":[159],"seeded":[160,178],"watershed,":[161],"supplies":[163],"seeds":[165,221],"replace":[167],"objects.":[172],"Consequently,":[173],"accuracy":[175,184],"algorithm":[180],"relies":[181],"on":[182,198],"predefined":[187],"seeds.":[188],"this":[190],"paper,":[191],"we":[192],"present":[193],"approach":[196],"based":[197],"geometric":[200],"morphological":[201],"properties":[202],"'landscape'":[205],"curvatures.":[207],"curvatures":[209],"computed":[211],"eigenvalues":[214],"Shape":[217],"matrix,":[218],"producing":[219],"accurate":[220],"inherit":[224],"original":[226],"shape":[227],"their":[229],"respective":[230],"cells.":[231],"We":[232],"compare":[233],"with":[234],"some":[235],"popular":[236],"approaches":[237],"show":[239],"advantage":[241],"proposed":[244],"method.":[245]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2025-10-10T00:00:00"}