{"id":"https://openalex.org/W4387121801","doi":"https://doi.org/10.1145/3613307.3613315","title":"An Investigation of Segment Anything Model (SAM) on Uterus Segmentation","display_name":"An Investigation of Segment Anything Model (SAM) on Uterus Segmentation","publication_year":2023,"publication_date":"2023-07-21","ids":{"openalex":"https://openalex.org/W4387121801","doi":"https://doi.org/10.1145/3613307.3613315"},"language":"en","primary_location":{"id":"doi:10.1145/3613307.3613315","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613307.3613315","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613307.3613315","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 8th International Conference on Biomedical Signal and Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3613307.3613315","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083794299","display_name":"Shan Zhang","orcid":"https://orcid.org/0000-0002-2932-6341"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Zhang","raw_affiliation_strings":["School of Computer, Electronics and Information, Guangxi University, China"],"raw_orcid":"https://orcid.org/0000-0002-2932-6341","affiliations":[{"raw_affiliation_string":"School of Computer, Electronics and Information, Guangxi University, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103148821","display_name":"Bingyan Liang","orcid":"https://orcid.org/0009-0001-4936-3107"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bohui Liang","raw_affiliation_strings":["School of Computer, Electronics and Information, Guangxi University, China"],"raw_orcid":"https://orcid.org/0009-0001-4936-3107","affiliations":[{"raw_affiliation_string":"School of Computer, Electronics and Information, Guangxi University, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336500","display_name":"Xuejun Zhang","orcid":"https://orcid.org/0000-0001-7689-4686"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejun Zhang","raw_affiliation_strings":["School of Computer, Electronics and Information, Guangxi University, China"],"raw_orcid":"https://orcid.org/0000-0001-7689-4686","affiliations":[{"raw_affiliation_string":"School of Computer, Electronics and Information, Guangxi University, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085139037","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-3950-0980"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["School of Computer, Electronics and Information, Guangxi University, China"],"raw_orcid":"https://orcid.org/0000-0002-3950-0980","affiliations":[{"raw_affiliation_string":"School of Computer, Electronics and Information, Guangxi University, China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044549015","display_name":"Liying Zhang","orcid":"https://orcid.org/0000-0003-1314-2895"},"institutions":[{"id":"https://openalex.org/I160354086","display_name":"Guangxi Medical University","ror":"https://ror.org/03dveyr97","country_code":"CN","type":"education","lineage":["https://openalex.org/I160354086"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liying Zhang","raw_affiliation_strings":["The Second Affiliated Hospital of Guangxi Medical University, China"],"raw_orcid":"https://orcid.org/0000-0003-1314-2895","affiliations":[{"raw_affiliation_string":"The Second Affiliated Hospital of Guangxi Medical University, China","institution_ids":["https://openalex.org/I160354086"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6518,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69087789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"39","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9815999865531921,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9815999865531921,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9571999907493591,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.865842342376709},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7164840698242188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6495290994644165},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6477116346359253},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.6168943643569946},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.4886351227760315},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4853178858757019},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.4356173276901245},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3504984676837921}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.865842342376709},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7164840698242188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6495290994644165},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6477116346359253},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.6168943643569946},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.4886351227760315},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4853178858757019},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.4356173276901245},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3504984676837921},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3613307.3613315","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613307.3613315","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613307.3613315","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 8th International Conference on Biomedical Signal and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3613307.3613315","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3613307.3613315","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3613307.3613315","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 8th International Conference on Biomedical Signal and Image Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337368","display_name":"Division of Graduate Education","ror":"https://ror.org/00whkrf32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387121801.pdf","grobid_xml":"https://content.openalex.org/works/W4387121801.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W2097117768","https://openalex.org/W2194775991","https://openalex.org/W2604272474","https://openalex.org/W2963037989","https://openalex.org/W2971599365","https://openalex.org/W3021317468","https://openalex.org/W3123982987","https://openalex.org/W4293584584","https://openalex.org/W4385245566","https://openalex.org/W4390874575","https://openalex.org/W6674914833","https://openalex.org/W6687483927","https://openalex.org/W6739901393","https://openalex.org/W6750227808"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2103507220","https://openalex.org/W2055202857","https://openalex.org/W2371519352","https://openalex.org/W4205800335","https://openalex.org/W2386644571","https://openalex.org/W2551987074","https://openalex.org/W2372421320"],"abstract_inverted_index":{"Highly":[0],"development":[1],"of":[2,44],"language-image":[3],"models":[4],"makes":[5],"prompt-driven":[6],"accurate":[7],"segmentation":[8,32,62],"become":[9],"possible.":[10],"Segment":[11],"Anything":[12],"Model":[13],"(SAM)":[14],"has":[15],"recently":[16],"made":[17],"a":[18,31],"breakthrough":[19],"in":[20,50],"zero-shot":[21],"image":[22],"segmentation,":[23],"using":[24],"an":[25],"unprecedentedly":[26],"large":[27],"dataset":[28],"to":[29],"train":[30],"model":[33],"with":[34,57],"strong":[35],"adaptability.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40],"investigate":[41],"the":[42,65],"capability":[43],"SAM":[45,58],"for":[46],"MRI":[47],"medical":[48],"images":[49],"uterus":[51,61],"Segmentation.":[52],"Experimental":[53],"results":[54],"that":[55],"YOLOv8":[56],"implements":[59],"end-to-end":[60],"and":[63,70],"outperforms":[64],"traditional":[66],"supervised":[67],"learning":[68],"U-net":[69],"U-net++":[71],"models.":[72]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}