{"id":"https://openalex.org/W4406327919","doi":"https://doi.org/10.1145/3706890.3706914","title":"A Three-Dimensional Multiframe Integration Network for Genotypic Subtyping of Pheochromocytomas","display_name":"A Three-Dimensional Multiframe Integration Network for Genotypic Subtyping of Pheochromocytomas","publication_year":2024,"publication_date":"2024-08-13","ids":{"openalex":"https://openalex.org/W4406327919","doi":"https://doi.org/10.1145/3706890.3706914"},"language":"en","primary_location":{"id":"doi:10.1145/3706890.3706914","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3706890.3706914","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3706890.3706914?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3706890.3706914?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101536107","display_name":"Haoran Ma","orcid":"https://orcid.org/0000-0001-5598-739X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haoran Ma","raw_affiliation_strings":["School of automation, Central South University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0001-5598-739X","affiliations":[{"raw_affiliation_string":"School of automation, Central South University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101536107"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22723212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"143","last_page":"147"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.982200026512146,"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/T10320","display_name":"Neural Networks and Applications","score":0.982200026512146,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9449999928474426,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9402999877929688,"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/subtyping","display_name":"Subtyping","score":0.9449077844619751},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6320350766181946},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.15969914197921753}],"concepts":[{"id":"https://openalex.org/C83852419","wikidata":"https://www.wikidata.org/wiki/Q2713292","display_name":"Subtyping","level":2,"score":0.9449077844619751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6320350766181946},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15969914197921753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3706890.3706914","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3706890.3706914","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3706890.3706914?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3706890.3706914","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3706890.3706914","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3706890.3706914?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406327919.pdf","grobid_xml":"https://content.openalex.org/works/W4406327919.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2997150500","https://openalex.org/W3124089649","https://openalex.org/W3134851390","https://openalex.org/W3212708089","https://openalex.org/W4320036954","https://openalex.org/W6603394118"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2396009657","https://openalex.org/W2799110842","https://openalex.org/W3032826521","https://openalex.org/W2391332606","https://openalex.org/W4229853287","https://openalex.org/W1462775415","https://openalex.org/W2008549446"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"deep":[3],"neural":[4],"networks":[5],"have":[6],"demonstrated":[7],"significant":[8],"advantages":[9],"in":[10,23,102,133],"the":[11,77,86,90,94,103,109,119,124],"field":[12],"of":[13,79,135],"computer-aided":[14],"diagnosis":[15],"(CAD).":[16],"However,":[17],"most":[18],"existing":[19,128],"models":[20,132],"perform":[21],"poorly":[22],"detecting":[24],"tumors":[25],"with":[26],"low":[27],"incidence":[28],"rates":[29],"and":[30,68,130],"infrequent":[31],"types,":[32],"such":[33],"as":[34],"neuroendocrine":[35],"tumors.":[36],"This":[37,52],"challenge":[38],"can":[39],"be":[40],"effectively":[41],"mitigated":[42],"by":[43],"extracting":[44],"more":[45,98],"informative":[46],"features":[47,71],"from":[48,72],"patients\u2019":[49],"tumor":[50,80,104],"images.":[51,115],"study":[53],"proposes":[54],"a":[55],"novel":[56],"multi-frame":[57,131],"aggregation":[58],"module":[59],"designed":[60],"to":[61,96,107],"automatically":[62],"filter":[63],"noise":[64],"across":[65],"various":[66],"slices":[67],"efficiently":[69],"integrate":[70],"multiple":[73],"slices,":[74],"thereby":[75],"enhancing":[76],"exploitation":[78],"sequence":[81],"characteristics.":[82],"Additionally,":[83],"we":[84],"incorporate":[85],"RoIAlign":[87],"mechanism":[88],"into":[89],"backbone":[91],"network,":[92],"enabling":[93],"model":[95],"focus":[97],"on":[99,118],"feature":[100,110],"learning":[101],"area":[105],"further":[106],"enhance":[108],"extraction":[111],"capabilities":[112],"for":[113],"CT":[114],"Experimental":[116],"results":[117],"multi-center":[120],"dataset":[121],"show":[122],"that":[123],"proposed":[125],"framework":[126],"outperforms":[127],"single-frame":[129],"terms":[134],"performance.":[136]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}