乐胖代购免代理版

{"id":"https://openalex.org/W4388184981","doi":"https://doi.org/10.48550/arxiv.2310.20607","title":"What a Whole Slide Image Can Tell? Subtype-guided Masked Transformer for Pathological Image Captioning","display_name":"What a Whole Slide Image Can Tell? Subtype-guided Masked Transformer for Pathological Image Captioning","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388184981","doi":"https://doi.org/10.48550/arxiv.2310.20607"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2310.20607","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2310.20607","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031523792","display_name":"Wenkang Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin, Wenkang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062134201","display_name":"Rui Xu","orcid":"https://orcid.org/0000-0002-8040-2768"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Rui","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109703162","display_name":"Peixiang Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Peixiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062971939","display_name":"Xiaomin Wu","orcid":"https://orcid.org/0000-0002-0898-4185"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Xiaomin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068058041","display_name":"Heyu Zhang","orcid":"https://orcid.org/0000-0002-4461-2290"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Heyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5110960864","display_name":"Lin Luo","orcid":"https://orcid.org/0000-0003-1980-0342"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Lin","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.926835,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":78,"max":84},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9982,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9982,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9868,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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":0.9544,"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/closed-captioning","display_name":"Closed captioning","score":0.98172283}],"concepts":[{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.98172283},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.8210087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73690623},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6392015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5548726},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49790978},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38693628},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.36646706},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34333852},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33250743},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.099668324},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07847488},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2310.20607","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2310.20607","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2310.20607","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality education","score":0.6}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4388184981","https://openalex.org/W4323777661","https://openalex.org/W4310447809","https://openalex.org/W4298897568","https://openalex.org/W4290852288","https://openalex.org/W4200243030","https://openalex.org/W3215212336","https://openalex.org/W3209117276","https://openalex.org/W3164229987","https://openalex.org/W2800782462"],"abstract_inverted_index":{"Pathological":[0],"captioning":[1,42,81],"of":[2,53,97,104],"Whole":[3],"Slide":[4],"Images":[5],"(WSIs),":[6],"though":[7],"is":[8,69],"essential":[9],"in":[10,22,107,112],"computer-aided":[11],"pathological":[12,41,98],"diagnosis,":[13],"has":[14],"rarely":[15],"been":[16],"studied":[17],"due":[18],"to":[19,73,91,130,148],"the":[20,63,75,80,93,102,113,121,131],"limitations":[21],"datasets":[23],"and":[24,56,78,115,137,155],"model":[25,136],"training":[26,76,114],"efficacy.":[27],"In":[28],"this":[29],"paper,":[30],"we":[31],"propose":[32],"a":[33,48,51,134],"new":[34],"paradigm":[35],"Subtype-guided":[36],"Masked":[37,88],"Transformer":[38],"(SGMT)":[39],"for":[40,152],"based":[43],"on":[44,120],"Transformers,":[45],"which":[46],"treats":[47],"WSI":[49],"as":[50],"sequence":[52],"sparse":[54],"patches":[55,106],"generates":[57],"an":[58,86],"overall":[59],"caption":[60],"sentence":[61],"from":[62],"sequence.":[64],"An":[65],"accompanying":[66],"subtype":[67],"prediction":[68],"introduced":[70],"into":[71],"SGMT":[72,108],"guide":[74],"process":[77],"enhance":[79],"accuracy.":[82],"We":[83],"also":[84],"present":[85],"Asymmetric":[87],"Mechansim":[89],"approach":[90,127],"tackle":[92],"large":[94],"size":[95],"constraint":[96],"image":[99],"captioning,":[100],"where":[101],"numbers":[103],"sequencing":[105],"are":[109,147],"sampled":[110],"differently":[111],"inferring":[116],"phases,":[117],"respectively.":[118],"Experiments":[119],"PatchGastricADC22":[122],"dataset":[123],"demonstrate":[124],"that":[125],"our":[126],"effectively":[128],"adapts":[129],"task":[132],"with":[133],"transformer-based":[135],"achieves":[138],"superior":[139],"performance":[140],"than":[141],"traditional":[142],"RNN-based":[143],"methods.":[144],"Our":[145],"codes":[146],"be":[149],"made":[150],"available":[151],"further":[153],"research":[154],"development.":[156]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4388184981","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-01-20T06:03:10.573521","created_date":"2023-11-02"}