{"id":"https://openalex.org/W2069508564","doi":"https://doi.org/10.1109/isbi.2014.6868107","title":"Yeast cell detection and segmentation in bright field microscopy","display_name":"Yeast cell detection and segmentation in bright field microscopy","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2069508564","doi":"https://doi.org/10.1109/isbi.2014.6868107","mag":"2069508564"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2014.6868107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6868107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5033337912","display_name":"Chong Zhang","orcid":"https://orcid.org/0000-0003-0679-7623"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]},{"id":"https://openalex.org/I4210150804","display_name":"CellGenix (Germany)","ror":"https://ror.org/05w4b5488","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210150804"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Chong Zhang","raw_affiliation_strings":["CellNetworks, University of Heidelberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CellNetworks, University of Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909","https://openalex.org/I4210150804"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020302376","display_name":"F. Huber","orcid":"https://orcid.org/0000-0001-8265-0856"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Huber","raw_affiliation_strings":["ZMBH, University of Heidelberg, Germany","ZMBH University of Heidelberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ZMBH, University of Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]},{"raw_affiliation_string":"ZMBH University of Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059107674","display_name":"Michael Knop","orcid":"https://orcid.org/0000-0003-2566-923X"},"institutions":[{"id":"https://openalex.org/I223822909","display_name":"Heidelberg University","ror":"https://ror.org/038t36y30","country_code":"DE","type":"education","lineage":["https://openalex.org/I223822909"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Knop","raw_affiliation_strings":["ZMBH, University of Heidelberg, Germany","ZMBH University of Heidelberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ZMBH, University of Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]},{"raw_affiliation_string":"ZMBH University of Heidelberg, Germany","institution_ids":["https://openalex.org/I223822909"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020048224","display_name":"Fred A. Hamprecht","orcid":"https://orcid.org/0000-0003-4148-5043"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fred A. Hamprecht","raw_affiliation_strings":["HCI, IWR, Heidelberg, Germany","HCI/IWR Heidelberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HCI, IWR, Heidelberg, Germany","institution_ids":[]},{"raw_affiliation_string":"HCI/IWR Heidelberg, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1267","last_page":"1270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7071106433868408},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6711896657943726},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.616256058216095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.605075478553772},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5764078497886658},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5335094928741455},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5022256374359131},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.483748197555542},{"id":"https://openalex.org/keywords/microscopy","display_name":"Microscopy","score":0.4679649770259857},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4425819218158722},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.41270652413368225},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.29859066009521484},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22032639384269714},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.12653979659080505},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08010411262512207}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7071106433868408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6711896657943726},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.616256058216095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.605075478553772},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5764078497886658},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5335094928741455},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5022256374359131},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.483748197555542},{"id":"https://openalex.org/C147080431","wikidata":"https://www.wikidata.org/wiki/Q1074953","display_name":"Microscopy","level":2,"score":0.4679649770259857},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4425819218158722},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.41270652413368225},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29859066009521484},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22032639384269714},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.12653979659080505},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08010411262512207}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isbi.2014.6868107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6868107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.646.5300","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.5300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/zhang_14_yeast.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1492395945","https://openalex.org/W1521920161","https://openalex.org/W1984956318","https://openalex.org/W2039808072","https://openalex.org/W2048808543","https://openalex.org/W2052355211","https://openalex.org/W2107554012","https://openalex.org/W2160041854","https://openalex.org/W2165232124","https://openalex.org/W2169345921","https://openalex.org/W3184458996","https://openalex.org/W6629226808"],"related_works":["https://openalex.org/W2028037572","https://openalex.org/W2315652488","https://openalex.org/W2039365229","https://openalex.org/W2145843506","https://openalex.org/W2379089757","https://openalex.org/W2056407677","https://openalex.org/W4293054829","https://openalex.org/W1999737656","https://openalex.org/W2128085731","https://openalex.org/W2551441443"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,56,88],"method":[3,79],"for":[4,73],"detecting":[5],"and":[6,46,83,92],"segmenting":[7],"yeast":[8,85],"cells":[9,17,31,86],"in":[10],"bright":[11],"field":[12],"microscopy":[13],"images":[14],"from":[15,87],"which":[16],"are":[18],"often":[19],"almost":[20],"transparent.":[21],"A":[22,34],"classifier":[23],"is":[24,71,95],"firstly":[25],"trained":[26],"to":[27,97],"detect":[28,82],"edges":[29],"of":[30,32,65,90,99],"interest.":[33],"label":[35],"cost":[36],"model":[37],"with":[38],"cardinality":[39],"constraints":[40],"then":[41],"simultaneously":[42],"detects":[43],"cell":[44,48],"centers":[45],"clusters":[47],"edge":[49,60],"points,":[50],"using":[51],"Integer":[52],"Linear":[53],"Programming.":[54],"For":[55],"noisy":[57],"or":[58,68],"partial":[59],"clustering,":[61],"an":[62],"additional":[63],"step":[64],"contour":[66],"fitting":[67],"seeded":[69],"watershed":[70],"applied":[72],"segmentation.":[74,101],"Results":[75],"demonstrate":[76],"that":[77,98],"our":[78],"can":[80],"consistently":[81],"segment":[84],"variety":[89],"datasets,":[91],"its":[93],"performance":[94],"close":[96],"manual":[100]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
