{"id":"https://openalex.org/W4410295864","doi":"https://doi.org/10.1109/isbi60581.2025.10980725","title":"Evaluating Data Augmentation Strategies for Robust Cross-Dataset Generalization in Wound Classification","display_name":"Evaluating Data Augmentation Strategies for Robust Cross-Dataset Generalization in Wound Classification","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4410295864","doi":"https://doi.org/10.1109/isbi60581.2025.10980725"},"language":"en","primary_location":{"id":"doi:10.1109/isbi60581.2025.10980725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10980725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5092366509","display_name":"Alexander Brehmer","orcid":"https://orcid.org/0009-0000-2795-6174"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alexander Brehmer","raw_affiliation_strings":["Institute for Artificial Intelligence in Medicine (IKIM), University Medicine Essen,Essen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence in Medicine (IKIM), University Medicine Essen,Essen,Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010662766","display_name":"Jan Egger","orcid":"https://orcid.org/0000-0002-5225-1982"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jan Egger","raw_affiliation_strings":["Institute for Artificial Intelligence in Medicine (IKIM), University Medicine Essen,Essen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence in Medicine (IKIM), University Medicine Essen,Essen,Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017161970","display_name":"Jens Kleesiek","orcid":"https://orcid.org/0000-0001-8686-0682"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jens Kleesiek","raw_affiliation_strings":["Institute for Artificial Intelligence in Medicine (IKIM), University Medicine Essen,Essen,Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence in Medicine (IKIM), University Medicine Essen,Essen,Germany","institution_ids":[]}]}],"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":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9714000225067139,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9714000225067139,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T11670","display_name":"Pressure Ulcer Prevention and Management","score":0.9373999834060669,"subfield":{"id":"https://openalex.org/subfields/3609","display_name":"Occupational Therapy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.759246826171875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6342953443527222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5532863140106201},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4232368469238281},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4220844507217407},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38552218675613403},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13140815496444702}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.759246826171875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6342953443527222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5532863140106201},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4232368469238281},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4220844507217407},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38552218675613403},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13140815496444702},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi60581.2025.10980725","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi60581.2025.10980725","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W2033914206"],"abstract_inverted_index":{"This":[0],"study":[1],"investigates":[2],"the":[3,10,21,65,106],"impact":[4],"of":[5,13,108],"data":[6],"augmentation":[7,32,113],"strategies":[8,114],"on":[9,64],"cross-dataset":[11,86],"generalization":[12,70,99],"deep":[14],"learning":[15],"models":[16],"for":[17,24,115],"wound":[18],"classification.":[19],"Using":[20],"AZH":[22],"dataset":[23,67],"model":[25,46,117],"training,":[26],"we":[27],"implemented":[28],"and":[29,39,43,78,88,91,111],"optimized":[30,59],"various":[31],"strategies-categorized":[33],"as":[34],"photometric,":[35],"geometric,":[36],"elastic,":[37],"cutout,":[38],"automated":[40,112],"methods":[41],"(RandAugment":[42],"TrivialAugmentWide)-to":[44],"enhance":[45],"robustness.":[47],"Each":[48],"augmentation's":[49],"parameters":[50],"were":[51,61],"tuned":[52],"using":[53],"Optuna":[54],"to":[55,68],"maximize":[56],"performance.":[57],"The":[58],"augmentations":[60],"then":[62],"evaluated":[63],"Medetec":[66],"analyze":[69],"performance":[71,118],"across":[72],"datasets.":[73],"Results":[74],"indicate":[75],"that":[76],"photometric":[77],"cutout":[79],"transformations,":[80],"particularly":[81],"when":[82],"combined,":[83],"significantly":[84],"improve":[85],"accuracy":[87],"F1-scores.":[89],"TrivialAugmentWide":[90],"RandAugment":[92],"provide":[93],"flexible,":[94],"competitive":[95],"alternatives,":[96],"achieving":[97],"robust":[98],"without":[100],"extensive":[101],"tuning.":[102],"These":[103],"findings":[104],"underscore":[105],"importance":[107],"both":[109],"tailored":[110],"enhancing":[116],"in":[119],"diverse":[120],"clinical":[121],"imaging":[122],"environments.":[123]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}