{"id":"https://openalex.org/W4408564115","doi":"https://doi.org/10.1109/tetci.2025.3547635","title":"PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification","display_name":"PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification","publication_year":2025,"publication_date":"2025-03-18","ids":{"openalex":"https://openalex.org/W4408564115","doi":"https://doi.org/10.1109/tetci.2025.3547635"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2025.3547635","doi":"https://doi.org/10.1109/tetci.2025.3547635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2025.3547635","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-20","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2306.16918","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101494368","display_name":"Tao Wang","orcid":"https://orcid.org/0009-0006-4868-1484","observed_orcids":["https://orcid.org/0009-0006-4868-1484"]},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["College of Physics and Information Engineering, University of Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0009-0006-4868-1484","affiliations":[{"raw_affiliation_string":"College of Physics and Information Engineering, University of Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101492717","display_name":"Xinlin Zhang","orcid":"https://orcid.org/0000-0003-1712-9241","observed_orcids":["https://orcid.org/0000-0003-1712-9241"]},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinlin Zhang","raw_affiliation_strings":["College of Physics and Information Engineering, University of Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1712-9241","affiliations":[{"raw_affiliation_string":"College of Physics and Information Engineering, University of Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065946202","display_name":"Yuanbo Zhou","orcid":"https://orcid.org/0000-0002-0136-3503","observed_orcids":["https://orcid.org/0000-0002-0136-3503"]},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanbo Zhou","raw_affiliation_strings":["College of Physics and Information Engineering, University of Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0136-3503","affiliations":[{"raw_affiliation_string":"College of Physics and Information Engineering, University of Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067622865","display_name":"Yuanbin Chen","orcid":"https://orcid.org/0009-0000-2844-6563","observed_orcids":["https://orcid.org/0009-0000-2844-6563"]},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanbin Chen","raw_affiliation_strings":["College of Physics and Information Engineering, University of Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-2844-6563","affiliations":[{"raw_affiliation_string":"College of Physics and Information Engineering, University of Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071509391","display_name":"Longxuan Zhao","orcid":"https://orcid.org/0009-0002-4339-804X","observed_orcids":["https://orcid.org/0009-0002-4339-804X"]},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longxuan Zhao","raw_affiliation_strings":["College of Physics and Information Engineering, University of Fuzhou University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Physics and Information Engineering, University of Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002869328","display_name":"Tao Tan","orcid":"https://orcid.org/0000-0002-4014-3458","observed_orcids":["https://orcid.org/0000-0002-4014-3458","https://orcid.org/0000-0001-5403-0887","https://orcid.org/0000-0001-5924-4112"]},"institutions":[{"id":"https://openalex.org/I49835588","display_name":"Macao Polytechnic University","ror":"https://ror.org/02sf5td35","country_code":"MO","type":"education","lineage":["https://openalex.org/I49835588"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Tao Tan","raw_affiliation_strings":["Faculty of Applied Science, University of Macao Polytechnic University, Macao, China"],"raw_orcid":"https://orcid.org/0000-0002-4014-3458","affiliations":[{"raw_affiliation_string":"Faculty of Applied Science, University of Macao Polytechnic University, Macao, China","institution_ids":["https://openalex.org/I49835588"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100745677","display_name":"Tong Tong","orcid":"https://orcid.org/0000-0003-0636-7359","observed_orcids":["https://orcid.org/0000-0003-0636-7359"]},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Tong","raw_affiliation_strings":["College of Physics and Information Engineering, University of Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0636-7359","affiliations":[{"raw_affiliation_string":"College of Physics and Information Engineering, University of Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":2.6015,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90582294,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"9","issue":"4","first_page":"3162","last_page":"3177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.42410001158714294,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.42410001158714294,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.3813000023365021,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.14149999618530273,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/active-learning-machine-learning","display_name":"active learning (machine learning)","score":0.9850000143051147},{"id":"https://openalex.org/keywords/medical-image-segmentation","display_name":"medical image segmentation","score":0.9819999933242798},{"id":"https://openalex.org/keywords/medical-image-classification","display_name":"medical image classification","score":0.9990000128746033},{"id":"https://openalex.org/keywords/annotation-cost-reduction","display_name":"annotation cost reduction","score":0.9259999990463257},{"id":"https://openalex.org/keywords/unlabeled-data-selection","display_name":"unlabeled data selection","score":0.6869999766349792},{"id":"https://openalex.org/keywords/3d-segmentation","display_name":"3D segmentation","score":0.7519999742507935},{"id":"https://openalex.org/keywords/kvasir","display_name":"Kvasir","score":0.5839999914169312},{"id":"https://openalex.org/keywords/brats-2019","display_name":"BraTS 2019","score":0.902999997138977},{"id":"https://openalex.org/keywords/model-robustness","display_name":"model robustness","score":0.5230000019073486}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5941387414932251},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.528897225856781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5198553204536438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48578953742980957},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3475254774093628},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33120232820510864},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3269325792789459}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tetci.2025.3547635","doi":"https://doi.org/10.1109/tetci.2025.3547635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2025.3547635","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","jufo-1","norway-1","poland-20","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2306.16918","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.16918","pdf_url":"https://arxiv.org/pdf/2306.16918","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2306.16918","doi":"https://doi.org/10.48550/arxiv.2306.16918","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2306.16918","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2306.16918","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.16918","pdf_url":"https://arxiv.org/pdf/2306.16918","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G4850240267","display_name":null,"funder_award_id":"62171133","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408564115.pdf","grobid_xml":"https://content.openalex.org/works/W4408564115.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W1641498739","https://openalex.org/W1872312298","https://openalex.org/W1901129140","https://openalex.org/W2011674654","https://openalex.org/W2049748121","https://openalex.org/W2107131609","https://openalex.org/W2108598243","https://openalex.org/W2150045166","https://openalex.org/W2163605009","https://openalex.org/W2292868198","https://openalex.org/W2464708700","https://openalex.org/W2588978745","https://openalex.org/W2593890499","https://openalex.org/W2616747498","https://openalex.org/W2623808523","https://openalex.org/W2884436604","https://openalex.org/W2885577113","https://openalex.org/W2911066482","https://openalex.org/W2912853883","https://openalex.org/W2927805125","https://openalex.org/W2951061410","https://openalex.org/W2951786554","https://openalex.org/W2964727689","https://openalex.org/W2977942577","https://openalex.org/W2995464762","https://openalex.org/W3003301316","https://openalex.org/W3013277995","https://openalex.org/W3089000511","https://openalex.org/W3094502228","https://openalex.org/W3095986980","https://openalex.org/W3135057764","https://openalex.org/W3136709974","https://openalex.org/W3138516171","https://openalex.org/W3174894125","https://openalex.org/W3188404242","https://openalex.org/W3204245437","https://openalex.org/W3209246008","https://openalex.org/W3216480618","https://openalex.org/W3216808341","https://openalex.org/W4221148424","https://openalex.org/W4285040393","https://openalex.org/W4286542949","https://openalex.org/W4293704603","https://openalex.org/W4307426725","https://openalex.org/W4310985374","https://openalex.org/W4312677475","https://openalex.org/W4377713204","https://openalex.org/W4386075748","https://openalex.org/W4386101776","https://openalex.org/W4386561400","https://openalex.org/W4393405197"],"related_works":["https://openalex.org/W7203828915","https://openalex.org/W4401023779","https://openalex.org/W7220923686","https://openalex.org/W4296965557","https://openalex.org/W3026420023","https://openalex.org/W7122528203","https://openalex.org/W4399169777","https://openalex.org/W3117626355","https://openalex.org/W2625559849","https://openalex.org/W4416256088"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"supervised":[3,23],"learning":[4,24,69],"using":[5],"convolutional":[6],"neural":[7],"networks":[8],"(CNN)":[9],"has":[10],"served":[11],"as":[12,152],"a":[13,66,120],"benchmark":[14],"for":[15,97,160],"various":[16],"medical":[17,41,174],"image":[18,175],"segmentation":[19,81,206,209],"and":[20,35,79,82,118,146,172,183,205,207],"classification.":[21],"However,":[22],"deeply":[25],"relies":[26],"on":[27,106,168],"large-scale":[28],"annotated":[29],"data,":[30],"which":[31],"is":[32,71,74],"expensive,":[33],"time-consuming,":[34],"even":[36],"impractical":[37],"to":[38,76,88,114,125,135],"acquire":[39],"in":[40,202],"imaging":[42],"applications.":[43],"Moreover,":[44],"effective":[45],"utilization":[46,62,217],"of":[47,63,102,143,218],"annotation":[48,57,64,90,98,219,233],"resources":[49,220],"might":[50],"not":[51],"always":[52],"be":[53],"feasible":[54],"during":[55],"the":[56,61,100,107,115,127,136,141,228],"process.":[58],"To":[59],"optimize":[60],"resources,":[65],"proposed":[67,166,192,212],"active":[68],"framework":[70,86,167,193,213],"introduced":[72],"that":[73,190],"applicable":[75],"both":[77],"2D":[78,203],"3D":[80,208],"classification":[83,204],"tasks.":[84,210],"This":[85],"aims":[87],"reduce":[89],"costs":[91],"by":[92,221],"selecting":[93],"more":[94,215,223],"valuable":[95],"samples":[96,148,157],"from":[99],"pool":[101],"unlabeled":[103],"data.":[104,137],"Based":[105],"perturbation":[108,121],"consistency,":[109],"we":[110,139],"apply":[111],"different":[112,133],"perturbations":[113,134],"input":[116],"data":[117,145],"propose":[119],"consistency":[122,128,142,151],"evaluation":[123],"module":[124],"evaluate":[126],"among":[129],"predictions":[130],"when":[131],"applying":[132],"Subsequently,":[138],"rank":[140],"each":[144],"select":[147],"with":[149,199,231],"lower":[150],"high-value":[153],"candidates.":[154],"These":[155],"selected":[156],"are":[158],"prioritized":[159],"annotation.":[161],"We":[162],"extensively":[163],"validated":[164],"our":[165,191],"three":[169],"publicly":[170],"available":[171],"challenging":[173],"datasets,":[176],"Kvasir":[177],"Dataset,":[178,182],"COVID-19":[179],"Infection":[180],"Segmentation":[181],"BraTS2019":[184],"Dataset.":[185],"The":[186,211],"experimental":[187],"results":[188],"demonstrate":[189],"can":[194],"achieve":[195],"significantly":[196],"improved":[197],"performance":[198],"fewer":[200,232],"annotations":[201],"enables":[214],"efficient":[216],"annotating":[222],"representative":[224],"samples,":[225],"thus":[226],"enhancing":[227],"model's":[229],"robustness":[230],"costs.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":6}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2025-03-19T00:00:00"}