{"id":"https://openalex.org/W4412382156","doi":"https://doi.org/10.1007/978-3-031-98691-8_7","title":"Multi-scale WSI Analysis: A Cascade Framework for\u00a0Efficient Breast Cancer Metastasis Detection","display_name":"Multi-scale WSI Analysis: A Cascade Framework for\u00a0Efficient Breast Cancer Metastasis Detection","publication_year":2025,"publication_date":"2025-07-14","ids":{"openalex":"https://openalex.org/W4412382156","doi":"https://doi.org/10.1007/978-3-031-98691-8_7"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-98691-8_7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-98691-8_7","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-031-98691-8_7","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044470263","display_name":"C. D. Atkins","orcid":null},"institutions":[{"id":"https://openalex.org/I39586589","display_name":"Swansea University","ror":"https://ror.org/053fq8t95","country_code":"GB","type":"education","lineage":["https://openalex.org/I39586589"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Connor Atkins","raw_affiliation_strings":["Department of Computer Science, Swansea University, Swansea, Wales"],"raw_orcid":"https://orcid.org/0009-0004-8814-8241","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Swansea University, Swansea, Wales","institution_ids":["https://openalex.org/I39586589"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003981917","display_name":"Gary K.L. Tam","orcid":"https://orcid.org/0000-0001-7387-5180"},"institutions":[{"id":"https://openalex.org/I39586589","display_name":"Swansea University","ror":"https://ror.org/053fq8t95","country_code":"GB","type":"education","lineage":["https://openalex.org/I39586589"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gary K. L. Tam","raw_affiliation_strings":["Department of Computer Science, Swansea University, Swansea, Wales"],"raw_orcid":"https://orcid.org/0000-0001-7387-5180","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Swansea University, Swansea, Wales","institution_ids":["https://openalex.org/I39586589"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071046786","display_name":"Michael Edwards","orcid":"https://orcid.org/0000-0003-3367-969X"},"institutions":[{"id":"https://openalex.org/I39586589","display_name":"Swansea University","ror":"https://ror.org/053fq8t95","country_code":"GB","type":"education","lineage":["https://openalex.org/I39586589"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michael Edwards","raw_affiliation_strings":["Department of Medicine Health and Science, Swansea University, Swansea, Wales"],"raw_orcid":"https://orcid.org/0000-0003-3367-969X","affiliations":[{"raw_affiliation_string":"Department of Medicine Health and Science, Swansea University, Swansea, Wales","institution_ids":["https://openalex.org/I39586589"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091275818","display_name":"Muhammad Aslam","orcid":"https://orcid.org/0000-0003-0644-1950"},"institutions":[{"id":"https://openalex.org/I110261225","display_name":"Glan Clwyd Hospital","ror":"https://ror.org/03jpj9789","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I110261225","https://openalex.org/I1286751378","https://openalex.org/I4210144625"]},{"id":"https://openalex.org/I1286751378","display_name":"Betsi Cadwaladr University Health Board","ror":"https://ror.org/03awsb125","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I1286751378","https://openalex.org/I4210144625"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Muhammad Aslam","raw_affiliation_strings":["Department of Cellular Pathology, Glan Clwyd Hospital, Betsi Cadwaladr University Health Board, Bodelwyddan, Wales"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cellular Pathology, Glan Clwyd Hospital, Betsi Cadwaladr University Health Board, Bodelwyddan, Wales","institution_ids":["https://openalex.org/I110261225","https://openalex.org/I1286751378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100608004","display_name":"Jiaxiang Zhang","orcid":"https://orcid.org/0000-0002-4758-0394"},"institutions":[{"id":"https://openalex.org/I39586589","display_name":"Swansea University","ror":"https://ror.org/053fq8t95","country_code":"GB","type":"education","lineage":["https://openalex.org/I39586589"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jiaxiang Zhang","raw_affiliation_strings":["Department of Computer Science, Swansea University, Swansea, Wales"],"raw_orcid":"https://orcid.org/0000-0002-4758-0394","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Swansea University, Swansea, Wales","institution_ids":["https://openalex.org/I39586589"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044470263"],"corresponding_institution_ids":["https://openalex.org/I39586589"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12057457,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"87","last_page":"101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9997000098228455,"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":0.9997000098228455,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7759535312652588},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.6305387020111084},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5910493731498718},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.584308922290802},{"id":"https://openalex.org/keywords/breast-cancer-metastasis","display_name":"Breast cancer metastasis","score":0.5373674035072327},{"id":"https://openalex.org/keywords/metastasis","display_name":"Metastasis","score":0.3880644142627716},{"id":"https://openalex.org/keywords/cancer-metastasis","display_name":"Cancer metastasis","score":0.3729841709136963},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3669840097427368},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3231370449066162},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.13534647226333618},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12536340951919556},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09434911608695984},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.03736269474029541}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7759535312652588},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.6305387020111084},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5910493731498718},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.584308922290802},{"id":"https://openalex.org/C2993589390","wikidata":"https://www.wikidata.org/wiki/Q12859063","display_name":"Breast cancer metastasis","level":5,"score":0.5373674035072327},{"id":"https://openalex.org/C2779013556","wikidata":"https://www.wikidata.org/wiki/Q181876","display_name":"Metastasis","level":3,"score":0.3880644142627716},{"id":"https://openalex.org/C2992691968","wikidata":"https://www.wikidata.org/wiki/Q181876","display_name":"Cancer metastasis","level":4,"score":0.3729841709136963},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3669840097427368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3231370449066162},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.13534647226333618},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12536340951919556},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09434911608695984},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.03736269474029541},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-031-98691-8_7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-98691-8_7","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:cronfa.swan.ac.uk:cronfa69644","is_oa":true,"landing_page_url":"https://cronfa.swan.ac.uk/Record/cronfa69644","pdf_url":"https://cronfa.swan.ac.uk/Record/cronfa69644/Download/69644__34416__901213e27a874146955e288d4c254aa1.pdf","source":{"id":"https://openalex.org/S4306401612","display_name":"Cronfa (Swansea University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39586589","host_organization_name":"Swansea University","host_organization_lineage":["https://openalex.org/I39586589"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper/Proceeding/Abstract"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-98691-8_7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-98691-8_7","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W1901129140","https://openalex.org/W2097117768","https://openalex.org/W2133059825","https://openalex.org/W2148309496","https://openalex.org/W2474421929","https://openalex.org/W2772723798","https://openalex.org/W2805886241","https://openalex.org/W2884822284","https://openalex.org/W2909778238","https://openalex.org/W2921577390","https://openalex.org/W2982406227","https://openalex.org/W3028488508","https://openalex.org/W3094977690","https://openalex.org/W3119441468","https://openalex.org/W3160412534","https://openalex.org/W3165730810","https://openalex.org/W3203206997","https://openalex.org/W4313837151","https://openalex.org/W4321232185","https://openalex.org/W4361212423","https://openalex.org/W4385827562","https://openalex.org/W4400881081"],"related_works":["https://openalex.org/W2408369942","https://openalex.org/W2764246122","https://openalex.org/W2509747167","https://openalex.org/W2460541251","https://openalex.org/W2111584953","https://openalex.org/W2800988295","https://openalex.org/W2314032833","https://openalex.org/W207137323","https://openalex.org/W60055582","https://openalex.org/W2910027259"],"abstract_inverted_index":{"Analysing":[0],"whole":[1],"slide":[2],"images":[3,26,39],"in":[4,33,81,178],"digital":[5],"pathology":[6],"for":[7],"disease":[8],"detection":[9,187],"and":[10,78,159,176],"diagnosis":[11],"is":[12],"a":[13,66,150],"challenge,":[14],"as":[15],"it":[16],"requires":[17],"balancing":[18],"fine-grained":[19],"details":[20],"with":[21,143],"broader":[22],"tissue":[23],"context.":[24],"High-resolution":[25],"offer":[27],"detailed":[28],"information":[29],"but":[30],"often":[31],"result":[32],"slow":[34],"processing":[35],"times,":[36],"while":[37],"lower-resolution":[38],"capture":[40],"larger":[41],"contextual":[42],"areas":[43],"at":[44,132],"the":[45,54,87,98,109],"cost":[46],"of":[47,57],"missing":[48],"critical":[49],"details.":[50],"This":[51],"study":[52],"explores":[53],"research":[55],"question":[56],"how":[58],"to":[59,74,129],"effectively":[60],"balance":[61],"these":[62],"needs":[63],"by":[64,157,163],"proposing":[65],"cascade":[67,123],"framework":[68],"that":[69,168],"integrates":[70],"multiple":[71],"resolution":[72,100,118],"levels":[73,92,119],"optimize":[75],"both":[76,174],"accuracy":[77,175],"computational":[79,179],"efficiency":[80,177],"detecting":[82],"breast":[83],"cancer":[84],"metastasis":[85],"using":[86],"CAMELYON16":[88],"dataset.":[89],"Surprisingly,":[90],"intermediate-resolution":[91],"(10":[93],"$$\\times":[94,102,140,146],"$$":[95,103,141,147],"magnification)":[96],"outperformed":[97],"highest":[99],"(40":[101],"),":[104],"challenging":[105],"conventional":[106],"assumptions.":[107],"Expanding":[108],"field-of-view":[110],"during":[111],"inference":[112,161],"improved":[113],"performance":[114],"universally":[115],"across":[116],"all":[117],"without":[120,185],"retraining.":[121],"Our":[122],"pipeline":[124],"selectively":[125],"applies":[126],"high-resolution":[127],"analysis":[128],"regions":[130],"flagged":[131],"lower":[133],"resolutions.":[134],"The":[135],"optimal":[136],"configuration,":[137],"combining":[138],"5":[139],"screening":[142],"targeted":[144],"20":[145],"analysis,":[148],"achieved":[149],"0.661":[151],"FROC":[152],"score,":[153],"surpassing":[154],"single-resolution":[155],"models":[156],"4.4%":[158],"reducing":[160],"time":[162],"12.4%.":[164],"These":[165],"findings":[166],"suggest":[167],"strategic":[169],"multi-resolution":[170],"approaches":[171],"can":[172],"enhance":[173],"pathology,":[180],"potentially":[181],"accelerating":[182],"clinical":[183],"diagnoses":[184],"compromising":[186],"reliability.":[188]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}