{"id":"https://openalex.org/W4416874974","doi":"https://doi.org/10.1109/ispa66905.2025.11259454","title":"Uncertainty-Aware Tau Detection in Progressive Supranuclear Palsy Using Object Detection Models","display_name":"Uncertainty-Aware Tau Detection in Progressive Supranuclear Palsy Using Object Detection Models","publication_year":2025,"publication_date":"2025-10-29","ids":{"openalex":"https://openalex.org/W4416874974","doi":"https://doi.org/10.1109/ispa66905.2025.11259454"},"language":null,"primary_location":{"id":"doi:10.1109/ispa66905.2025.11259454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa66905.2025.11259454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 14th International Symposium on Image and Signal Processing and Analysis (ISPA)","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/A5108199036","display_name":"G. Tong Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Gracie Zhou","raw_affiliation_strings":["University of Cambridge,UK"],"affiliations":[{"raw_affiliation_string":"University of Cambridge,UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014248595","display_name":"Tiago Azevedo","orcid":"https://orcid.org/0000-0002-2052-3832"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tiago Azevedo","raw_affiliation_strings":["University of Cambridge,UK"],"affiliations":[{"raw_affiliation_string":"University of Cambridge,UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033125199","display_name":"Annelies Quaegebeur","orcid":"https://orcid.org/0000-0001-5357-9341"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Annelies Quaegebeur","raw_affiliation_strings":["University of Cambridge,UK"],"affiliations":[{"raw_affiliation_string":"University of Cambridge,UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004409282","display_name":"Tanrada Pansuwan","orcid":"https://orcid.org/0000-0002-8433-2453"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tanrada Pansuwan","raw_affiliation_strings":["University of Cambridge,UK"],"affiliations":[{"raw_affiliation_string":"University of Cambridge,UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025188319","display_name":"Timothy Rittman","orcid":"https://orcid.org/0000-0003-1063-6937"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Timothy Rittman","raw_affiliation_strings":["University of Cambridge,UK"],"affiliations":[{"raw_affiliation_string":"University of Cambridge,UK","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056748708","display_name":"P\u00edetro Li\u00f3","orcid":"https://orcid.org/0000-0002-0540-5053"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pietro Li\u00f3","raw_affiliation_strings":["University of Cambridge,UK"],"affiliations":[{"raw_affiliation_string":"University of Cambridge,UK","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5108199036"],"corresponding_institution_ids":["https://openalex.org/I241749"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.53800353,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"139","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10085","display_name":"Parkinson's Disease Mechanisms and Treatments","score":0.34459999203681946,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10085","display_name":"Parkinson's Disease Mechanisms and Treatments","score":0.34459999203681946,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.11330000311136246,"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/T10919","display_name":"Neurological disorders and treatments","score":0.04699999839067459,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[],"concepts":[],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispa66905.2025.11259454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa66905.2025.11259454","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 14th International Symposium on Image and Signal Processing and Analysis (ISPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2099001231","https://openalex.org/W2914546793","https://openalex.org/W3022376055","https://openalex.org/W3194565976","https://openalex.org/W3211109300","https://openalex.org/W4210567882","https://openalex.org/W4387776513","https://openalex.org/W4388532435","https://openalex.org/W4394019181"],"related_works":[],"abstract_inverted_index":{"Abnormal":[0],"tau":[1,21,60,77,168,216],"accumulation":[2],"is":[3,24,220],"a":[4,73,129,146,208],"hallmark":[5],"of":[6,75,86,91,133,177,190,201],"neurodegenerative":[7],"diseases":[8],"such":[9],"as":[10,53],"Progressive":[11],"Supranuclear":[12],"Palsy":[13],"(PSP).":[14],"Traditional":[15],"post-mortem":[16],"assessments":[17],"rely":[18],"on":[19,43,72],"manual":[20],"annotation,":[22],"which":[23],"time-consuming":[25],"and":[26,41,63,68,111,164,170,183,204,213],"subjective.":[27],"Existing":[28],"machine":[29],"learning":[30],"methods":[31],"typically":[32],"involve":[33],"multi-stage":[34],"featurebased":[35],"pipelines,":[36],"resulting":[37],"in":[38],"limited":[39],"scalability":[40],"reliance":[42],"handcrafted":[44],"features.":[45],"This":[46],"work":[47,196],"evaluates":[48],"deep":[49],"learning-based":[50],"object":[51,93,191,202],"detection":[52,94,116,134,178,192],"an":[54],"efficient":[55],"end-to-end":[56],"alternative":[57],"for":[58,152],"automating":[59],"lesion":[61],"identification":[62],"classification.":[64],"We":[65,114],"fine-tuned":[66],"YOLO":[67,148],"Faster":[69],"R-CNN":[70],"models":[71,95],"dataset":[74],"29,852":[76],"lesions":[78],"from":[79],"16":[80],"PSP":[81],"brain":[82],"slides,":[83],"achieving":[84],"mAP@50":[85],"0.702.":[87],"To":[88],"address":[89],"limitations":[90],"conventional":[92],"with":[96,180],"overconfident":[97],"spatial":[98,110],"predictions,":[99],"we":[100,144],"integrated":[101,145],"Monte":[102],"Carlo":[103],"Dropout":[104],"into":[105,150],"both":[106],"architectures":[107],"to":[108],"estimate":[109],"label":[112],"uncertainty.":[113],"evaluated":[115],"uncertainty":[117,127,205],"using":[118],"Probability-based":[119],"Detection":[120],"Quality.":[121],"Our":[122],"results":[123],"demonstrate":[124],"that":[125],"incorporating":[126],"offers":[128],"more":[130],"comprehensive":[131],"evaluation":[132],"reliability,":[135],"complementing":[136],"traditional":[137],"metrics":[138],"like":[139],"mAP.":[140],"For":[141],"clinical":[142,156,171,184,188],"application,":[143],"non-stochastic":[147],"model":[149],"QuPath":[151],"whole-slide":[153],"inference.":[154],"Downstream":[155],"validation":[157],"was":[158],"conducted,":[159],"including":[160],"SHAP-based":[161],"saliency":[162],"analysis":[163],"correlation":[165],"between":[166],"model-predicted":[167],"densities":[169],"disease":[172],"severity":[173,185],"scores.":[174],"The":[175],"alignment":[176],"outputs":[179],"pathological":[181],"features":[182],"underscores":[186],"the":[187,198],"utility":[189],"models.":[193],"Overall,":[194],"this":[195],"highlights":[197],"complementary":[199],"strengths":[200],"detectors":[203],"quantification,":[206],"offering":[207],"path":[209],"toward":[210],"scalable,":[211],"interpretable,":[212],"clinically":[214],"meaningful":[215],"pathology":[217],"analysis.":[218],"Code":[219],"available":[221],"at":[222],"https://github.com/Pidongg/dl_histopathology.":[223]},"counts_by_year":[],"updated_date":"2026-03-03T08:47:05.690250","created_date":"2025-12-01T00:00:00"}