{"id":"https://openalex.org/W4393189100","doi":"https://doi.org/10.3233/jifs-239703","title":"PalScDiff: A diffusion-based framework with progressive augmentation learning and semantic consistency for breast ultrasound tumor segmentation","display_name":"PalScDiff: A diffusion-based framework with progressive augmentation learning and semantic consistency for breast ultrasound tumor segmentation","publication_year":2024,"publication_date":"2024-03-23","ids":{"openalex":"https://openalex.org/W4393189100","doi":"https://doi.org/10.3233/jifs-239703"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-239703","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-239703","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology","raw_type":"journal-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/A5009017309","display_name":"Qin Yang","orcid":"https://orcid.org/0000-0003-0582-057X"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Nanchang Institute of Technology","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qin Yang","raw_affiliation_strings":["School of Business Administration, Nanchang Institute of Technology, Economic and Technological Development Zone, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business Administration, Nanchang Institute of Technology, Economic and Technological Development Zone, Nanchang, China","institution_ids":["https://openalex.org/I141103825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100767817","display_name":"Tong Yu","orcid":"https://orcid.org/0000-0002-5991-2050"},"institutions":[{"id":"https://openalex.org/I141103825","display_name":"Nanchang Institute of Technology","ror":"https://ror.org/00avfj807","country_code":"CN","type":"education","lineage":["https://openalex.org/I141103825"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Tong","raw_affiliation_strings":["School of Business Administration, Nanchang Institute of Technology, Economic and Technological Development Zone, Nanchang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business Administration, Nanchang Institute of Technology, Economic and Technological Development Zone, Nanchang, China","institution_ids":["https://openalex.org/I141103825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5009017309"],"corresponding_institution_ids":["https://openalex.org/I141103825"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02956775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"49","issue":"2","first_page":"512","last_page":"526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9984999895095825,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.7017322182655334},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6780474185943604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6672448515892029},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.4690540134906769},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.43222135305404663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4289621114730835},{"id":"https://openalex.org/keywords/breast-ultrasound","display_name":"Breast ultrasound","score":0.42082110047340393},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.32255682349205017},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.25853946805000305},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.20644202828407288},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.11398401856422424},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.059234619140625},{"id":"https://openalex.org/keywords/mammography","display_name":"Mammography","score":0.0540471076965332}],"concepts":[{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.7017322182655334},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6780474185943604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6672448515892029},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.4690540134906769},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.43222135305404663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4289621114730835},{"id":"https://openalex.org/C2777423100","wikidata":"https://www.wikidata.org/wiki/Q1888238","display_name":"Breast ultrasound","level":5,"score":0.42082110047340393},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.32255682349205017},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.25853946805000305},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.20644202828407288},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11398401856422424},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.059234619140625},{"id":"https://openalex.org/C2780472235","wikidata":"https://www.wikidata.org/wiki/Q324634","display_name":"Mammography","level":4,"score":0.0540471076965332},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-239703","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-239703","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2344824682","https://openalex.org/W2594438013","https://openalex.org/W2770397194","https://openalex.org/W2884436604","https://openalex.org/W2919763858","https://openalex.org/W2943130718","https://openalex.org/W2963150697","https://openalex.org/W2966196015","https://openalex.org/W2991372685","https://openalex.org/W2999509917","https://openalex.org/W3091886168","https://openalex.org/W3120006163","https://openalex.org/W3149621864","https://openalex.org/W3162561301","https://openalex.org/W3162926177","https://openalex.org/W3189381860","https://openalex.org/W3203769673","https://openalex.org/W3213004719","https://openalex.org/W4200468497","https://openalex.org/W4225009244","https://openalex.org/W4287102660","https://openalex.org/W4292851291","https://openalex.org/W4294831446","https://openalex.org/W4296057829","https://openalex.org/W4304689261","https://openalex.org/W4308782099","https://openalex.org/W4309763239","https://openalex.org/W4309797177","https://openalex.org/W4312497550","https://openalex.org/W4312933868","https://openalex.org/W4315754639","https://openalex.org/W4319300975","https://openalex.org/W4328090513","https://openalex.org/W4360600964","https://openalex.org/W4380302515","https://openalex.org/W4382999383","https://openalex.org/W4386057777","https://openalex.org/W4386233974","https://openalex.org/W4386352882","https://openalex.org/W4386426777","https://openalex.org/W4387844354","https://openalex.org/W6794672509","https://openalex.org/W6795288823"],"related_works":["https://openalex.org/W3108039862","https://openalex.org/W3021454079","https://openalex.org/W2618954822","https://openalex.org/W1990605602","https://openalex.org/W31474833","https://openalex.org/W2348815573","https://openalex.org/W4283075545","https://openalex.org/W2070388411","https://openalex.org/W2896805445","https://openalex.org/W2101706338"],"abstract_inverted_index":{"Background:":[0],"Breast":[1],"cancer":[2,52],"diagnosis":[3,14],"relies":[4],"on":[5],"accurate":[6,50,184],"lesion":[7,53],"segmentation":[8,24,54,88,122,188],"in":[9,28,55],"medical":[10,56,79],"images.":[11,57],"Automated":[12],"computer-aided":[13,187],"reduces":[15],"clinician":[16],"workload":[17],"and":[18,31,49,126,153,168,185],"improves":[19],"efficiency,":[20],"but":[21],"existing":[22],"image":[23],"methods":[25],"face":[26],"challenges":[27,123],"model":[29,46,72,179],"performance":[30],"generalization.":[32],"Objective:":[33],"This":[34],"study":[35],"aims":[36],"to":[37,73,100,119,134],"develop":[38],"a":[39,43,61,68,114],"generative":[40,63],"framework":[41],"using":[42],"denoising":[44,69,107],"diffusion":[45,70],"for":[47,78,183],"efficient":[48,186],"breast":[51,137,190],"Methods:":[58],"We":[59],"design":[60,113],"novel":[62],"framework,":[64],"PalScDiff,":[65],"that":[66,145],"leverages":[67],"probabilistic":[71],"reconstruct":[74],"the":[75,83,92,95,102],"label":[76],"distribution":[77],"images,":[80],"thereby":[81],"enabling":[82],"sampling":[84,131],"of":[85,94,124,159,162,166,173,189],"diverse,":[86],"plausible":[87],"outcomes.":[89],"Specifically,":[90],"with":[91],"condition":[93],"corresponding":[96],"image,":[97],"PalScDiff":[98,146],"learns":[99],"estimate":[101],"masses":[103],"region":[104],"probability":[105],"through":[106],"step":[108],"by":[109],"step.":[110],"Furthermore,":[111],"we":[112],"Progressive":[115],"Augmentation":[116],"Learning":[117],"strategy":[118],"incrementally":[120],"handle":[121],"irregular":[125],"blurred":[127],"tumors.":[128],"Moreover,":[129],"multi-round":[130],"is":[132],"employed":[133],"achieve":[135],"robust":[136],"mass":[138],"segmentation.":[139],"Results:":[140],"Our":[141],"experimental":[142],"results":[143],"show":[144],"outperforms":[147],"established":[148],"models":[149],"such":[150],"as":[151],"U-Net":[152],"transformer-based":[154],"alternatives,":[155],"achieving":[156],"an":[157],"accuracy":[158],"95.15%,":[160],"precision":[161],"79.74%,":[163],"Dice":[164],"coefficient":[165],"77.61%,":[167],"Intersection":[169],"over":[170],"Union":[171],"(IOU)":[172],"81.51%":[174],".":[175],"Conclusion:":[176],"The":[177],"proposed":[178],"demonstrates":[180],"promising":[181],"capabilities":[182],"cancer.":[191]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}