{"id":"https://openalex.org/W7161815779","doi":"https://doi.org/10.48550/arxiv.2605.19692","title":"WBCAtt+: Fine-Grained Pixel-Level Morphological Annotations for White Blood Cell Images","display_name":"WBCAtt+: Fine-Grained Pixel-Level Morphological Annotations for White Blood Cell Images","publication_year":2026,"publication_date":"2026-05-19","ids":{"openalex":"https://openalex.org/W7161815779","doi":"https://doi.org/10.48550/arxiv.2605.19692"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.19692","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19692","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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.19692","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115501011","display_name":"Satoshi Tsutsui","orcid":"https://orcid.org/0000-0001-8003-2616"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsutsui, Satoshi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136516582","display_name":"Winnie Pang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pang, Winnie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085200012","display_name":"Shuting He","orcid":"https://orcid.org/0000-0002-1582-5684"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Shuting","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136538149","display_name":"Bihan Wen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wen, Bihan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"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":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9954000115394592,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9954000115394592,"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":0.0008999999845400453,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.0006000000284984708,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6151999831199646},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.40950000286102295},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3864000141620636},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.35589998960494995},{"id":"https://openalex.org/keywords/digital-pathology","display_name":"Digital pathology","score":0.3330000042915344},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.27799999713897705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6614000201225281},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6151999831199646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.593999981880188},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.40950000286102295},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3864000141620636},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3596999943256378},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.35589998960494995},{"id":"https://openalex.org/C2777522853","wikidata":"https://www.wikidata.org/wiki/Q5276128","display_name":"Digital pathology","level":2,"score":0.3330000042915344},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C2778488018","wikidata":"https://www.wikidata.org/wiki/Q42395","display_name":"White blood cell","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.2687999904155731},{"id":"https://openalex.org/C56273599","wikidata":"https://www.wikidata.org/wiki/Q3122841","display_name":"White (mutation)","level":3,"score":0.2660999894142151},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.2565000057220459},{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.19692","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19692","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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.19692","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19692","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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"microscopic":[1],"examination":[2],"of":[3,56,68,125],"white":[4],"blood":[5,19],"cells":[6],"(WBCs)":[7],"plays":[8],"a":[9,65],"fundamental":[10],"role":[11],"in":[12],"pathology":[13],"and":[14,24,44,77,86,111,152],"is":[15,91],"essential":[16],"for":[17,98,108],"diagnosing":[18],"disorders":[20],"such":[21,141],"as":[22,142],"leukemia":[23],"anemia.":[25],"To":[26,58],"support":[27],"further":[28,127],"research":[29],"on":[30],"WBC":[31,69,99],"images,":[32],"multiple":[33],"datasets":[34],"have":[35],"been":[36],"proposed.":[37],"However,":[38],"they":[39],"mainly":[40],"annotate":[41],"cell":[42,80],"categories,":[43],"lack":[45],"detailed":[46],"morphological":[47,75],"characteristics":[48],"that":[49],"pathologists":[50],"use":[51],"to":[52,94,121],"explain":[53],"their":[54],"interpretations":[55],"cells.":[57],"address":[59],"this":[60,102],"gap,":[61],"we":[62,104,133],"introduce":[63],"WBCAtt+,":[64],"novel":[66],"dataset":[67,151],"images":[70],"densely":[71],"annotated":[72],"with":[73],"11":[74],"attributes":[76],"five":[78],"pixel-level":[79],"components.":[81],"With":[82],"113k":[83],"image-level":[84],"labels":[85],"10k":[87],"segmentation":[88],"maps,":[89],"WBCAtt+":[90],"the":[92,129],"first":[93],"provide":[95,105],"comprehensive":[96],"annotations":[97],"images.":[100],"Leveraging":[101],"dataset,":[103,140],"baseline":[106],"models":[107],"attribute":[109,118],"recognition":[110,119,130],"semantic":[112],"segmentation.":[113],"We":[114],"also":[115],"design":[116],"an":[117],"model":[120],"incorporate":[122],"compositional":[123],"structure":[124],"cells,":[126],"improving":[128],"performance.":[131],"Lastly,":[132],"showcase":[134],"various":[135],"applications":[136],"enabled":[137],"by":[138],"our":[139],"explainable":[143],"AI":[144],"models,":[145],"including":[146],"counterfactual":[147],"example":[148],"generation.":[149],"\\revision{The":[150],"code":[153],"are":[154],"publicly":[155],"available\\footnote{https://doi.org/10.57967/hf/8143}}.":[156]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-21T00:00:00"}