{"id":"https://openalex.org/W3049259308","doi":"https://doi.org/10.1109/tip.2021.3078106","title":"Geodesic Paths for Image Segmentation With Implicit Region-Based Homogeneity Enhancement","display_name":"Geodesic Paths for Image Segmentation With Implicit Region-Based Homogeneity Enhancement","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3049259308","doi":"https://doi.org/10.1109/tip.2021.3078106","mag":"3049259308","pmid":"https://pubmed.ncbi.nlm.nih.gov/34014824"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3078106","doi":"https://doi.org/10.1109/tip.2021.3078106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3078106","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2008.06909","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100392722","display_name":"Da Chen","orcid":"https://orcid.org/0000-0002-2996-751X","observed_orcids":["https://orcid.org/0000-0002-2996-751X"]},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da Chen","raw_affiliation_strings":["Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-2996-751X","affiliations":[{"raw_affiliation_string":"Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jian Zhu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210100830","display_name":"Shandong Tumor Hospital","ror":"https://ror.org/01413r497","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210100830"]},{"id":"https://openalex.org/I4210163399","display_name":"Shandong First Medical University","ror":"https://ror.org/05jb9pq57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163399"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhu","raw_affiliation_strings":["Shandong Cancer Hospital affiliated to Shandong First Medical University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Cancer Hospital affiliated to Shandong First Medical University, Jinan, China","institution_ids":["https://openalex.org/I4210100830","https://openalex.org/I4210163399"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375447","display_name":"Xinxin Zhang","orcid":"https://orcid.org/0000-0001-6069-5391","observed_orcids":["https://orcid.org/0000-0001-6069-5391"]},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxin Zhang","raw_affiliation_strings":["School of Software, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-6069-5391","affiliations":[{"raw_affiliation_string":"School of Software, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044470103","display_name":"Minglei Shu","orcid":"https://orcid.org/0000-0002-7136-1538","observed_orcids":["https://orcid.org/0000-0002-7136-1538"]},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minglei Shu","raw_affiliation_strings":["Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-7136-1538","affiliations":[{"raw_affiliation_string":"Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101875134","display_name":"Laurent David Cohen","orcid":"https://orcid.org/0000-0002-3940-645X","observed_orcids":["https://orcid.org/0000-0002-3940-645X"]},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I171048554","display_name":"Centre de Recherche en Math\u00e9matiques de la D\u00e9cision","ror":"https://ror.org/03s0gj002","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I171048554","https://openalex.org/I2746051580","https://openalex.org/I4210141950","https://openalex.org/I56435720"]},{"id":"https://openalex.org/I2746051580","display_name":"Universit\u00e9 Paris Sciences et Lettres","ror":"https://ror.org/013cjyk83","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580"]},{"id":"https://openalex.org/I56435720","display_name":"Universit\u00e9 Paris Dauphine-PSL","ror":"https://ror.org/052bz7812","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580","https://openalex.org/I56435720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Laurent D. Cohen","raw_affiliation_strings":["CNRS, UMR 7534, CEREMADE, University Paris Dauphine, PSL Research University, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, UMR 7534, CEREMADE, University Paris Dauphine, PSL Research University, Paris, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I171048554","https://openalex.org/I2746051580","https://openalex.org/I56435720"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":1.3803,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.8024981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"30","issue":null,"first_page":"5138","last_page":"5153"},"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/T10036","display_name":"Advanced Neural Network Applications","score":9.999999747378752e-05,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.0,"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/image-segmentation","display_name":"image segmentation","score":0.859000027179718},{"id":"https://openalex.org/keywords/minimal-paths","display_name":"minimal paths","score":0.8019999861717224},{"id":"https://openalex.org/keywords/geodesic-metric","display_name":"geodesic metric","score":0.8930000066757202},{"id":"https://openalex.org/keywords/eikonal-equation","display_name":"eikonal equation","score":0.8489999771118164},{"id":"https://openalex.org/keywords/boundary-detection","display_name":"boundary detection","score":0.7549999952316284},{"id":"https://openalex.org/keywords/curvature-regularization","display_name":"curvature regularization","score":0.9929999709129333},{"id":"https://openalex.org/keywords/interactive-image-segmentation","display_name":"interactive segmentation","score":0.6740000247955322}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6398000121116638},{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.6297000050544739},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6097999811172485},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5820000171661377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5742999911308289},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5622000098228455},{"id":"https://openalex.org/C17866373","wikidata":"https://www.wikidata.org/wiki/Q5437042","display_name":"Fast marching method","level":2,"score":0.5559999942779541},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5358999967575073},{"id":"https://openalex.org/C142259097","wikidata":"https://www.wikidata.org/wiki/Q5891314","display_name":"Homogeneity (statistics)","level":2,"score":0.49970000982284546},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.44760000705718994},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4471000134944916},{"id":"https://openalex.org/C45340560","wikidata":"https://www.wikidata.org/wiki/Q215382","display_name":"Disjoint sets","level":2,"score":0.4406999945640564},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4341999888420105},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.4171999990940094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4156000018119812},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.40560001134872437},{"id":"https://openalex.org/C40375134","wikidata":"https://www.wikidata.org/wiki/Q1303846","display_name":"Eikonal equation","level":2,"score":0.36070001125335693},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33180001378059387},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.28769999742507935},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C117258860","wikidata":"https://www.wikidata.org/wiki/Q895153","display_name":"Boundary representation","level":3,"score":0.2678999900817871}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/tip.2021.3078106","doi":"https://doi.org/10.1109/tip.2021.3078106","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3078106","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:34014824","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34014824","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,"listed_in":[],"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":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:2008.06909","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.06909","pdf_url":"https://arxiv.org/pdf/2008.06909","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-02996798v1","doi":null,"is_oa":false,"landing_page_url":"https://hal.science/hal-02996798","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Image Processing, 2021, 30, pp.5138-5153. &#x27E8;10.1109/TIP.2021.3078106&#x27E9;","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:basepub.dauphine.psl.eu:123456789/22172","doi":null,"is_oa":true,"landing_page_url":"https://basepub.dauphine.psl.eu/handle/123456789/22172","pdf_url":null,"source":{"id":"https://openalex.org/S4306401007","display_name":"Base Institutionnelle de Recherche de l'universit\u00e9 Paris-Dauphine (BIRD) (University Paris-Dauphine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I102197404","host_organization_name":"Universit\u00e9 Paris-Sud","host_organization_lineage":["https://openalex.org/I102197404"],"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":"","raw_type":"Article accept\u00e9 pour publication ou publi\u00e9"},{"id":"doi:10.48550/arxiv.2008.06909","doi":"https://doi.org/10.48550/arxiv.2008.06909","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2008.06909","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2008.06909","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.06909","pdf_url":"https://arxiv.org/pdf/2008.06909","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2208892437","display_name":null,"funder_award_id":"ZR2020LZL001","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G5838787665","display_name":"PaRis Artificial Intelligence Research InstitutE","funder_award_id":"ANR-19-P3IA-0001","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G7224716607","display_name":null,"funder_award_id":"61902224","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3049259308.pdf","grobid_xml":"https://content.openalex.org/works/W3049259308.grobid-xml"},"referenced_works_count":83,"referenced_works":["https://openalex.org/W21025885","https://openalex.org/W1506879382","https://openalex.org/W1541134818","https://openalex.org/W1569930776","https://openalex.org/W1631012203","https://openalex.org/W1853286284","https://openalex.org/W1890779811","https://openalex.org/W1951160674","https://openalex.org/W1967268147","https://openalex.org/W1980097377","https://openalex.org/W1989408822","https://openalex.org/W1991113069","https://openalex.org/W2002882465","https://openalex.org/W2006673626","https://openalex.org/W2023354677","https://openalex.org/W2026356722","https://openalex.org/W2036576620","https://openalex.org/W2052479847","https://openalex.org/W2071784068","https://openalex.org/W2073968346","https://openalex.org/W2079690285","https://openalex.org/W2080479039","https://openalex.org/W2086921140","https://openalex.org/W2087353192","https://openalex.org/W2091595991","https://openalex.org/W2093164524","https://openalex.org/W2098152234","https://openalex.org/W2104095591","https://openalex.org/W2104404402","https://openalex.org/W2115836603","https://openalex.org/W2116040950","https://openalex.org/W2116901131","https://openalex.org/W2119300483","https://openalex.org/W2123698257","https://openalex.org/W2124351162","https://openalex.org/W2125637308","https://openalex.org/W2129390138","https://openalex.org/W2133664217","https://openalex.org/W2134820502","https://openalex.org/W2137948437","https://openalex.org/W2138604203","https://openalex.org/W2139478903","https://openalex.org/W2141207154","https://openalex.org/W2142722911","https://openalex.org/W2145803225","https://openalex.org/W2147330191","https://openalex.org/W2147899407","https://openalex.org/W2148395215","https://openalex.org/W2149184914","https://openalex.org/W2155343350","https://openalex.org/W2161237731","https://openalex.org/W2162837059","https://openalex.org/W2167338900","https://openalex.org/W2171147867","https://openalex.org/W2294819727","https://openalex.org/W2328822572","https://openalex.org/W2505680244","https://openalex.org/W2560455603","https://openalex.org/W2604936991","https://openalex.org/W2613505351","https://openalex.org/W2732931556","https://openalex.org/W2735550195","https://openalex.org/W2775163108","https://openalex.org/W2783231089","https://openalex.org/W2893266688","https://openalex.org/W2902387246","https://openalex.org/W2917790938","https://openalex.org/W2923052940","https://openalex.org/W2963642352","https://openalex.org/W2981482281","https://openalex.org/W2998449272","https://openalex.org/W3034167473","https://openalex.org/W3044256341","https://openalex.org/W3084350493","https://openalex.org/W3087642760","https://openalex.org/W3108860939","https://openalex.org/W3209458660","https://openalex.org/W3211330693","https://openalex.org/W4285719527","https://openalex.org/W4286898866","https://openalex.org/W4287605116","https://openalex.org/W4385490361","https://openalex.org/W6772113300"],"related_works":["https://openalex.org/W3209458660","https://openalex.org/W4200632919","https://openalex.org/W3204463504","https://openalex.org/W4390829116","https://openalex.org/W2963642352","https://openalex.org/W2462201078","https://openalex.org/W3210060093","https://openalex.org/W2074995260","https://openalex.org/W2018155350","https://openalex.org/W4404168212"],"abstract_inverted_index":{"Minimal":[0],"paths":[1],"are":[2,72],"regarded":[3],"as":[4,27,127],"a":[5,36,120],"powerful":[6],"and":[7,13,21,77],"efficient":[8],"tool":[9],"for":[10],"boundary":[11],"detection":[12],"image":[14,39,147],"segmentation":[15,40,148],"due":[16],"to":[17,122],"its":[18],"global":[19],"optimality":[20],"the":[22,44,61,65,91,96,111,128,139],"well-established":[23],"numerical":[24],"solutions":[25],"such":[26],"fast":[28],"marching":[29],"method.":[30],"In":[31],"this":[32,114],"paper,":[33],"we":[34,117],"introduce":[35,119],"flexible":[37],"interactive":[38],"model":[41,63,141],"based":[42],"on":[43,100],"Eikonal":[45],"partial":[46],"differential":[47],"equation":[48],"(PDE)":[49],"framework":[50],"in":[51,60],"conjunction":[52],"with":[53],"region-based":[54,82,92],"homogeneity":[55,83,93],"enhancement.":[56],"A":[57],"key":[58],"ingredient":[59],"introduced":[62],"is":[64,108],"construction":[66],"of":[67,74,90,104,110,113,130],"local":[68],"geodesic":[69],"metrics,":[70],"which":[71,107],"capable":[73],"integrating":[75],"anisotropic":[76],"asymmetric":[78],"edge":[79],"features,":[80,106],"implicit":[81,102],"features":[84,94],"and/or":[85],"curvature":[86],"regularization.":[87],"The":[88],"incorporation":[89],"into":[95],"metrics":[97],"considered":[98],"relies":[99],"an":[101],"representation":[103],"these":[105],"one":[109],"contributions":[112],"work.":[115],"Moreover,":[116],"also":[118],"way":[121],"build":[123],"simple":[124],"closed":[125],"contours":[126],"concatenation":[129],"two":[131],"disjoint":[132],"open":[133],"curves.":[134],"Experimental":[135],"results":[136],"prove":[137],"that":[138],"proposed":[140],"indeed":[142],"outperforms":[143],"state-of-the-art":[144],"minimal":[145],"paths-based":[146],"approaches.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2020-08-21T00:00:00"}
