{"id":"https://openalex.org/W7126111401","doi":"https://doi.org/10.1109/bibm66473.2025.11356074","title":"SpaceSeg: Spatially Feature-Aware Segmentation and Classification Model for Cell Nuclei","display_name":"SpaceSeg: Spatially Feature-Aware Segmentation and Classification Model for Cell Nuclei","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126111401","doi":"https://doi.org/10.1109/bibm66473.2025.11356074"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5124266952","display_name":"Yijun Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yijun Peng","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University,Hunan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University,Hunan,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061621381","display_name":"Liangrui Pan","orcid":"https://orcid.org/0000-0003-0565-4217"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangrui Pan","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University,Hunan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University,Hunan,China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100912914","display_name":"Luo Jiadi","orcid":null},"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"]},{"id":"https://openalex.org/I4210153856","display_name":"Second Xiangya Hospital of Central South University","ror":"https://ror.org/053v2gh09","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210153856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiadi Luo","raw_affiliation_strings":["The Second Xiangya Hospital, Central South University,Department of Pathology,Changsha,Hunan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Second Xiangya Hospital, Central South University,Department of Pathology,Changsha,Hunan,China","institution_ids":["https://openalex.org/I4210153856","https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103454930","display_name":"Christopher Wang","orcid":"https://orcid.org/0000-0002-7873-0594"},"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"]},{"id":"https://openalex.org/I4210153856","display_name":"Second Xiangya Hospital of Central South University","ror":"https://ror.org/053v2gh09","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210153856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Christopher Wang","raw_affiliation_strings":["The Second Xiangya Hospital, Central South University,Department of Pathology,Changsha,Hunan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Second Xiangya Hospital, Central South University,Department of Pathology,Changsha,Hunan,China","institution_ids":["https://openalex.org/I4210153856","https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079998607","display_name":"Yuxuan Xiao","orcid":"https://orcid.org/0000-0003-1785-3096"},"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"]},{"id":"https://openalex.org/I4210153856","display_name":"Second Xiangya Hospital of Central South University","ror":"https://ror.org/053v2gh09","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210153856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Xiao","raw_affiliation_strings":["The Second Xiangya Hospital, Central South University,Department of Pathology,Changsha,Hunan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Second Xiangya Hospital, Central South University,Department of Pathology,Changsha,Hunan,China","institution_ids":["https://openalex.org/I4210153856","https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qingchun Liang","orcid":null},"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"]},{"id":"https://openalex.org/I4210153856","display_name":"Second Xiangya Hospital of Central South University","ror":"https://ror.org/053v2gh09","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210153856"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingchun Liang","raw_affiliation_strings":["The Second Xiangya Hospital, Central South University,Department of Pathology,Changsha,Hunan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Second Xiangya Hospital, Central South University,Department of Pathology,Changsha,Hunan,China","institution_ids":["https://openalex.org/I4210153856","https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124257281","display_name":"Shaoliang Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoliang Peng","raw_affiliation_strings":["College of Computer Science and Electronic Engineering, Hunan University,Hunan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Electronic Engineering, Hunan University,Hunan,China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.80642714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1141","last_page":"1148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9510999917984009,"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":0.9510999917984009,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.016899999231100082,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.008899999782443047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7757999897003174},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.7093999981880188},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6726999878883362},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.588100016117096},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.40950000286102295},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.38760000467300415},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.38420000672340393},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3596999943256378}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7757999897003174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.763700008392334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7515000104904175},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.7093999981880188},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6726999878883362},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.588100016117096},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4887000024318695},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.40950000286102295},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.38760000467300415},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.38420000672340393},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3596999943256378},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.35690000653266907},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3375000059604645},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.33559998869895935},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3352000117301941},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.32739999890327454},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.30720001459121704},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.2996000051498413},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.25940001010894775}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356074","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356074","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7221302698","display_name":null,"funder_award_id":"2022YFC3400400,2023YFC3503400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320318558","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2798643036","https://openalex.org/W2885343725","https://openalex.org/W2974825848","https://openalex.org/W2981994674","https://openalex.org/W2991471181","https://openalex.org/W3132111858","https://openalex.org/W4221099717","https://openalex.org/W4225672218","https://openalex.org/W4312468136","https://openalex.org/W4382877880","https://openalex.org/W4386047745","https://openalex.org/W4389666313","https://openalex.org/W4390874575","https://openalex.org/W4392883923","https://openalex.org/W4403154320","https://openalex.org/W4407363942"],"related_works":[],"abstract_inverted_index":{"Detecting":[0],"and":[1,7,32,38,42,61,69,79,100,176,191],"segmenting":[2],"cell":[3,36,104],"nuclei":[4],"in":[5,30,48,53,114,158],"Hematoxylin":[6],"Eosin":[8],"(H&E)":[9],"stained":[10],"tissue":[11],"images":[12],"is":[13,23],"a":[14,24,96],"critical":[15,156],"clinical":[16],"task":[17],"with":[18],"broad":[19],"applications.":[20],"However,":[21],"it":[22,83],"challenging":[25],"problem":[26],"due":[27],"to":[28,85,122,130,144,150,164],"variations":[29],"staining":[31],"size,":[33],"overlapping":[34],"boundaries,":[35],"clustering,":[37],"the":[39,120,138,145,148,154,159,180,189],"high":[40,76],"morphological":[41],"size":[43],"variability":[44],"of":[45,64,141],"lesion":[46],"regions":[47,157],"medical":[49,54],"images.":[50],"Accurate":[51],"segmentation":[52,99],"imaging":[55],"requires":[56],"precise":[57],"global":[58],"contour":[59],"localization":[60],"careful":[62],"handling":[63],"local":[65],"boundaries.":[66,166],"Existing":[67],"CNN-based":[68],"Transformer-based":[70],"models":[71],"are":[72],"often":[73],"limited":[74],"by":[75],"parameter":[77],"counts":[78],"computational":[80],"complexity,":[81],"making":[82],"difficult":[84],"effectively":[86],"integrate":[87],"these":[88],"features.":[89],"To":[90],"address":[91],"this":[92],"challenge,":[93],"we":[94],"propose":[95],"spatially":[97],"feature-aware":[98],"classification":[101],"model":[102,121,181],"for":[103],"nuclei,":[105],"named":[106],"SpaceSeg.":[107],"The":[108,133,167],"Partial":[109,168],"Gated":[110,169],"Feed-forward":[111],"Network":[112],"module":[113,171],"SpaceSeg":[115,196],"enhances":[116,137],"feature":[117],"representations,":[118],"enabling":[119],"focus":[123,152],"on":[124,153,188],"key":[125],"features":[126,142],"while":[127],"reducing":[128],"attention":[129],"redundant":[131],"information.":[132,185],"Spatial":[134],"Attention":[135],"Block":[136],"spatial":[139],"information":[140],"passed":[143],"decoder,":[146],"allowing":[147],"network":[149],"automatically":[151],"most":[155],"image,":[160],"especially":[161],"those":[162],"related":[163],"nuclear":[165],"CNN":[170],"more":[172],"accurately":[173],"fuses":[174],"low-level":[175],"high-level":[177],"features,":[178],"helping":[179],"learn":[182],"finer":[183],"semantic":[184],"Experimental":[186],"results":[187],"PanNuke":[190],"MoNuSeg":[192],"datasets":[193],"demonstrate":[194],"that":[195],"outperforms":[197],"all":[198],"existing":[199],"state-of-the-art":[200],"models.":[201]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-30T00:00:00"}