{"id":"https://openalex.org/W4392823493","doi":"https://doi.org/10.1145/3638584.3638606","title":"Image Segmentation of the Cell Nuclei Staining Using U-net and Segment Anything Model","display_name":"Image Segmentation of the Cell Nuclei Staining Using U-net and Segment Anything Model","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4392823493","doi":"https://doi.org/10.1145/3638584.3638606"},"language":"en","primary_location":{"id":"doi:10.1145/3638584.3638606","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638584.3638606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-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/A5065175404","display_name":"Zifan Zuo","orcid":"https://orcid.org/0009-0000-7825-4826"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zifan Zuo","raw_affiliation_strings":["Northeastern University, USA"],"raw_orcid":"https://orcid.org/0009-0000-7825-4826","affiliations":[{"raw_affiliation_string":"Northeastern University, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5065175404"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2038318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"195","last_page":"204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9930999875068665,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9930999875068665,"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":0.9865000247955322,"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":0.984499990940094,"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/image-segmentation","display_name":"Image segmentation","score":0.5947794914245605},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5926246643066406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5841690301895142},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5289444923400879},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49159249663352966},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43852242827415466},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37527328729629517}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5947794914245605},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5926246643066406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5841690301895142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5289444923400879},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49159249663352966},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43852242827415466},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37527328729629517}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638584.3638606","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638584.3638606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W126887177","https://openalex.org/W1569497692","https://openalex.org/W1998183746","https://openalex.org/W2028193271","https://openalex.org/W2057793836","https://openalex.org/W2067966687","https://openalex.org/W2110764733","https://openalex.org/W2112796928","https://openalex.org/W2239835736","https://openalex.org/W2395611524","https://openalex.org/W2618530766","https://openalex.org/W2792643794","https://openalex.org/W2942500499","https://openalex.org/W3041449688","https://openalex.org/W3190695173","https://openalex.org/W4229658977","https://openalex.org/W4300424419","https://openalex.org/W4362679702"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W4324315429","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W2113201962","https://openalex.org/W4298131179","https://openalex.org/W2799953226","https://openalex.org/W4366343436","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Cell":[0],"nuclei":[1,39,154],"examination":[2],"plays":[3],"a":[4,23,28],"pivotal":[5],"role":[6],"in":[7,69,152],"biological":[8],"research":[9],"due":[10],"to":[11,45,83,132,141],"their":[12,47],"primary":[13],"responsibility":[14],"for":[15,26,36,52,127,149],"housing":[16],"genetic":[17],"information,":[18],"as":[19,21],"well":[20],"providing":[22],"major":[24],"landmark":[25],"identifying":[27],"cell.":[29],"This":[30],"study":[31,155],"introduces":[32],"an":[33],"automated":[34],"approach":[35],"studying":[37],"cell":[38,153],"morphology,":[40],"leveraging":[41],"machine":[42],"learning":[43],"models":[44],"identify":[46],"forms":[48],"and":[49,97,118,124],"yield":[50],"insights":[51],"further":[53,150],"investigation.":[54],"The":[55,87],"principal":[56],"challenge":[57],"addressed":[58],"herein":[59],"is":[60],"the":[61,70,104,109,121,138,142],"time-intensive":[62],"requirement":[63],"of":[64],"manually":[65],"labeling":[66,117],"raw":[67],"images":[68],"training":[71],"set.":[72],"Our":[73,100],"proposed":[74],"solution":[75],"employs":[76],"Meta's":[77],"recently":[78],"developed":[79],"segment-anything":[80],"model":[81,89,140],"(SAM)":[82],"expedite":[84],"this":[85,145],"process.":[86],"SAM":[88,139],"offers":[90,108],"several":[91],"auto-segmentation":[92],"methodologies,":[93],"including":[94],"full-automatic":[95],"segmentation":[96],"point-as-input":[98],"segmentation.":[99],"experiments":[101],"indicate":[102],"that":[103],"point":[105],"selection":[106],"mode":[107],"most":[110],"promising":[111],"results.":[112],"Its":[113],"accuracy":[114],"matches":[115],"human":[116],"significantly":[119],"reduces":[120],"time":[122],"investment":[123],"presents":[125],"scope":[126],"enhancement":[128],"through":[129],"modification":[130],"specific":[131],"biomedical":[133],"image":[134],"processing.":[135],"By":[136],"adopting":[137],"biology":[143],"domain,":[144],"work":[146],"opens":[147],"avenues":[148],"automation":[151],"with":[156],"potential":[157],"generalization":[158],"capabilities.":[159]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
