{"id":"https://openalex.org/W4402351336","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650166","title":"PDDM: Poisson-Distribution Diffusion Model with Multi-Step Weighted Fusion for Medical Image Segmentation","display_name":"PDDM: Poisson-Distribution Diffusion Model with Multi-Step Weighted Fusion for Medical Image Segmentation","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402351336","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650166"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650166","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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/A5107958570","display_name":"Xingyu Chen","orcid":"https://orcid.org/0009-0009-5416-1743"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyu Chen","raw_affiliation_strings":["South China University of Technology,School of Software Engineering,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Software Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101953158","display_name":"Junying Chen","orcid":"https://orcid.org/0009-0003-5322-5211"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junying Chen","raw_affiliation_strings":["South China University of Technology,School of Software Engineering,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Software Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16532855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9940999746322632,"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/T10862","display_name":"AI in cancer detection","score":0.9934999942779541,"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/image-segmentation","display_name":"Image segmentation","score":0.6542266607284546},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.6409980058670044},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5928134918212891},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.579406201839447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5605277419090271},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5195822715759277},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5194180011749268},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4854870140552521},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4821564555168152},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41526907682418823},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4055889844894409},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2587810754776001},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13436928391456604},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08870825171470642}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6542266607284546},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.6409980058670044},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5928134918212891},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.579406201839447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5605277419090271},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5195822715759277},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5194180011749268},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4854870140552521},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4821564555168152},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41526907682418823},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4055889844894409},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2587810754776001},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13436928391456604},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08870825171470642},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650166","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10650166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","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":46,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2194775991","https://openalex.org/W2798122215","https://openalex.org/W2907750714","https://openalex.org/W2935464137","https://openalex.org/W2963446712","https://openalex.org/W2964059111","https://openalex.org/W2979410457","https://openalex.org/W3001152983","https://openalex.org/W3010034261","https://openalex.org/W3014974815","https://openalex.org/W3030515889","https://openalex.org/W3036167779","https://openalex.org/W3047502985","https://openalex.org/W3098656187","https://openalex.org/W3110257065","https://openalex.org/W3112701542","https://openalex.org/W3127751679","https://openalex.org/W3162926177","https://openalex.org/W3169386841","https://openalex.org/W3177150392","https://openalex.org/W3191805365","https://openalex.org/W3204318134","https://openalex.org/W4224035735","https://openalex.org/W4226000809","https://openalex.org/W4281485151","https://openalex.org/W4287100534","https://openalex.org/W4288346058","https://openalex.org/W4308023490","https://openalex.org/W6657413401","https://openalex.org/W6679045638","https://openalex.org/W6750469568","https://openalex.org/W6753182481","https://openalex.org/W6763099201","https://openalex.org/W6779823529","https://openalex.org/W6786375611","https://openalex.org/W6788990321","https://openalex.org/W6790275670","https://openalex.org/W6795288823","https://openalex.org/W6796411514","https://openalex.org/W6797906067","https://openalex.org/W6798128096","https://openalex.org/W6804703708","https://openalex.org/W6809885388","https://openalex.org/W6838639034","https://openalex.org/W6846611385"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331"],"abstract_inverted_index":{"Medical":[0],"image":[1,45,53,85,195],"segmentation":[2,27,90,102,147,196],"is":[3],"challenging":[4],"because":[5],"the":[6,22,31,72,78,89,111,123,132,159,164,167,175,178,185],"boundaries":[7,24],"of":[8,34,92,122,146,166,177,189,198],"lesions":[9],"are":[10],"often":[11],"hazy":[12],"or":[13],"unclear.":[14],"As":[15],"a":[16,42,60,65,144,152],"result,":[17],"how":[18],"to":[19,25,75,142,162,173],"better":[20],"distinguish":[21],"lesion":[23],"improve":[26,174],"accuracy":[28],"has":[29,48],"become":[30],"main":[32],"focus":[33],"research":[35],"in":[36,51,83,95,158],"recent":[37],"years.":[38],"The":[39],"diffusion":[40,62,68,79,93,112,124,168],"model,":[41,47],"potent":[43],"visual":[44],"generation":[46],"extended":[49],"applications":[50],"medical":[52,84,194],"segmentation.":[54,86],"In":[55],"this":[56],"work,":[57],"we":[58,104,150,183],"propose":[59],"Poisson-distribution":[61],"model":[63,69,129,169,191],"(PDDM),":[64],"novel":[66],"conditional":[67],"based":[70],"on":[71,192],"Poisson":[73,108,134],"distribution,":[74],"fully":[76],"use":[77,121],"model\u2019s":[80,125],"enormous":[81],"potential":[82],"To":[87],"increase":[88],"diversity":[91],"models":[94],"discrete":[96],"spaces":[97],"and":[98,136,187],"produce":[99],"more":[100],"precise":[101],"maps,":[103],"first":[105],"explore":[106],"utilizing":[107],"noise":[109,135],"as":[110],"kernel":[113],"rather":[114],"than":[115],"Gaussian":[116],"noise.":[117],"Then,":[118],"by":[119],"making":[120],"stochastic":[126],"nature,":[127],"our":[128,190],"repeatedly":[130],"samples":[131],"original":[133],"intermediate":[137],"latent":[138],"variables":[139],"at":[140,170],"random":[141],"generate":[143],"variety":[145],"masks.":[148],"Moreover,":[149],"include":[151],"multi-step":[153],"weighted":[154],"fusion":[155],"(MSWF)":[156],"module":[157],"reasoning":[160],"process":[161],"merge":[163],"output":[165],"each":[171],"step,":[172],"robustness":[176],"PDDM\u2019s":[179],"prediction":[180],"results.":[181],"Finally,":[182],"validate":[184],"effectiveness":[186],"generalization":[188],"three":[193],"datasets":[197],"different":[199],"imaging":[200],"modalities.":[201]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
